diff --git a/ai-comic-factory/.eslintrc.json b/ai-comic-factory/.eslintrc.json new file mode 100644 index 0000000000000000000000000000000000000000..bffb357a7122523ec94045523758c4b825b448ef --- /dev/null +++ b/ai-comic-factory/.eslintrc.json @@ -0,0 +1,3 @@ +{ + "extends": "next/core-web-vitals" +} diff --git a/ai-comic-factory/.gitignore b/ai-comic-factory/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..13fdab8cd865adb421af37371f9a4bd1ff2899c3 --- /dev/null +++ b/ai-comic-factory/.gitignore @@ -0,0 +1,37 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts + +pnpm-lock.yaml diff --git a/ai-comic-factory/.nvmrc b/ai-comic-factory/.nvmrc new file mode 100644 index 0000000000000000000000000000000000000000..016e34baf166c338842f818f51cdcdd7e3966ae8 --- /dev/null +++ b/ai-comic-factory/.nvmrc @@ -0,0 +1 @@ +v20.17.0 diff --git a/ai-comic-factory/CONTRIBUTORS.md b/ai-comic-factory/CONTRIBUTORS.md new file mode 100644 index 0000000000000000000000000000000000000000..421a1fb031dc63e7e10e590abed81e0ecbf1c21b --- /dev/null +++ b/ai-comic-factory/CONTRIBUTORS.md @@ -0,0 +1,10 @@ +This project was developed by Julian Bilcke (@jbilcke-hf), as part of his work at Hugging Face. + +------------------------------------------ + +A huge thanks to external developers for their contributions! + +艾逗笔 (@idoubi): +- [feature] Added support for OpenAI: https://github.com/jbilcke-hf/ai-comic-factory/pull/6 +- [bug] predict import error (use dynamic imports for the LLM provider): https://github.com/jbilcke-hf/ai-comic-factory/pull/9 + diff --git a/ai-comic-factory/Dockerfile b/ai-comic-factory/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..4ef86c13e803b99af8527d40a42131c3b3fbc58c --- /dev/null +++ b/ai-comic-factory/Dockerfile @@ -0,0 +1,65 @@ +FROM node:20-alpine AS base + +# Install dependencies only when needed +FROM base AS deps +# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed. +RUN apk add --no-cache libc6-compat +WORKDIR /app + +# Install dependencies based on the preferred package manager +COPY package.json yarn.lock* package-lock.json* pnpm-lock.yaml* ./ +RUN \ + if [ -f yarn.lock ]; then yarn --frozen-lockfile; \ + elif [ -f package-lock.json ]; then npm ci; \ + elif [ -f pnpm-lock.yaml ]; then yarn global add pnpm && pnpm i --frozen-lockfile; \ + else echo "Lockfile not found." && exit 1; \ + fi + +# Uncomment the following lines if you want to use a secret at buildtime, +# for example to access your private npm packages +# RUN --mount=type=secret,id=HF_EXAMPLE_SECRET,mode=0444,required=true \ +# $(cat /run/secrets/HF_EXAMPLE_SECRET) + +# Rebuild the source code only when needed +FROM base AS builder +WORKDIR /app +COPY --from=deps /app/node_modules ./node_modules +COPY . . + +# Next.js collects completely anonymous telemetry data about general usage. +# Learn more here: https://nextjs.org/telemetry +# Uncomment the following line in case you want to disable telemetry during the build. +# ENV NEXT_TELEMETRY_DISABLED 1 + +# RUN yarn build + +# If you use yarn, comment out this line and use the line above +RUN npm run build + +# Production image, copy all the files and run next +FROM base AS runner +WORKDIR /app + +ENV NODE_ENV production +# Uncomment the following line in case you want to disable telemetry during runtime. +# ENV NEXT_TELEMETRY_DISABLED 1 + +RUN addgroup --system --gid 1001 nodejs +RUN adduser --system --uid 1001 nextjs + +COPY --from=builder /app/public ./public + +# Automatically leverage output traces to reduce image size +# https://nextjs.org/docs/advanced-features/output-file-tracing +COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./ +COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static +COPY --from=builder --chown=nextjs:nodejs /app/.next/cache ./.next/cache +# COPY --from=builder --chown=nextjs:nodejs /app/.next/cache/fetch-cache ./.next/cache/fetch-cache + +USER nextjs + +EXPOSE 3000 + +ENV PORT 3000 + +CMD ["node", "server.js"] diff --git a/ai-comic-factory/LICENCE.md b/ai-comic-factory/LICENCE.md new file mode 100644 index 0000000000000000000000000000000000000000..537fde8423156f05dc00b52a4fc8eebd451f66e9 --- /dev/null +++ b/ai-comic-factory/LICENCE.md @@ -0,0 +1,170 @@ +Apache License +============== + +_Version 2.0, January 2004_ +_<>_ + +### Terms and Conditions for use, reproduction, and distribution + +#### 1. 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However, +in accepting such obligations, You may act only on Your own behalf and on Your +sole responsibility, not on behalf of any other Contributor, and only if You +agree to indemnify, defend, and hold each Contributor harmless for any liability +incurred by, or claims asserted against, such Contributor by reason of your +accepting any such warranty or additional liability. + +_END OF TERMS AND CONDITIONS_ \ No newline at end of file diff --git a/ai-comic-factory/README.md b/ai-comic-factory/README.md new file mode 100644 index 0000000000000000000000000000000000000000..1fa3b589e791b86c73f20111e5398f1d06fde361 --- /dev/null +++ b/ai-comic-factory/README.md @@ -0,0 +1,192 @@ +--- +title: AI Comic Factory +emoji: 👩‍🎨 +colorFrom: red +colorTo: yellow +sdk: docker +pinned: true +app_port: 3000 +disable_embedding: false +short_description: Create your own AI comic with a single prompt +hf_oauth: true +hf_oauth_expiration_minutes: 43200 +hf_oauth_scopes: [inference-api] +--- + +# AI Comic Factory + +Last release: AI Comic Factory 1.2 + +The AI Comic Factory will soon have an official website: [aicomicfactory.app](https://aicomicfactory.app) + +For more information about my other projects please check [linktr.ee/FLNGR](https://linktr.ee/FLNGR). + +## Running the project at home + +First, I would like to highlight that everything is open-source (see [here](https://huggingface.co/spaces/jbilcke-hf/ai-comic-factory/tree/main), [here](https://huggingface.co/spaces/jbilcke-hf/VideoChain-API/tree/main), [here](https://huggingface.co/spaces/hysts/SD-XL/tree/main), [here](https://github.com/huggingface/text-generation-inference)). + +However the project isn't a monolithic Space that can be duplicated and ran immediately: +it requires various components to run for the frontend, backend, LLM, SDXL etc. + +If you try to duplicate the project, open the `.env` you will see it requires some variables. + +Provider config: +- `LLM_ENGINE`: can be one of `INFERENCE_API`, `INFERENCE_ENDPOINT`, `OPENAI`, `GROQ`, `ANTHROPIC` +- `RENDERING_ENGINE`: can be one of: "INFERENCE_API", "INFERENCE_ENDPOINT", "REPLICATE", "VIDEOCHAIN", "OPENAI" for now, unless you code your custom solution + +Auth config: +- `AUTH_HF_API_TOKEN`: if you decide to use Hugging Face for the LLM engine (inference api model or a custom inference endpoint) +- `AUTH_OPENAI_API_KEY`: to use OpenAI for the LLM engine +- `AUTH_GROQ_API_KEY`: to use Groq for the LLM engine +- `AUTH_ANTHROPIC_API_KEY`: to use Anthropic (Claude) for the LLM engine +- `AUTH_VIDEOCHAIN_API_TOKEN`: secret token to access the VideoChain API server +- `AUTH_REPLICATE_API_TOKEN`: in case you want to use Replicate.com + +Rendering config: +- `RENDERING_HF_INFERENCE_ENDPOINT_URL`: necessary if you decide to use a custom inference endpoint +- `RENDERING_REPLICATE_API_MODEL_VERSION`: url to the VideoChain API server +- `RENDERING_HF_INFERENCE_ENDPOINT_URL`: optional, default to nothing +- `RENDERING_HF_INFERENCE_API_BASE_MODEL`: optional, defaults to "stabilityai/stable-diffusion-xl-base-1.0" +- `RENDERING_HF_INFERENCE_API_REFINER_MODEL`: optional, defaults to "stabilityai/stable-diffusion-xl-refiner-1.0" +- `RENDERING_REPLICATE_API_MODEL`: optional, defaults to "stabilityai/sdxl" +- `RENDERING_REPLICATE_API_MODEL_VERSION`: optional, in case you want to change the version + +Language model config (depending on the LLM engine you decide to use): +- `LLM_HF_INFERENCE_ENDPOINT_URL`: "" +- `LLM_HF_INFERENCE_API_MODEL`: "HuggingFaceH4/zephyr-7b-beta" +- `LLM_OPENAI_API_BASE_URL`: "https://api.openai.com/v1" +- `LLM_OPENAI_API_MODEL`: "gpt-4-turbo" +- `LLM_GROQ_API_MODEL`: "mixtral-8x7b-32768" +- `LLM_ANTHROPIC_API_MODEL`: "claude-3-opus-20240229" + +In addition, there are some community sharing variables that you can just ignore. +Those variables are not required to run the AI Comic Factory on your own website or computer +(they are meant to create a connection with the Hugging Face community, +and thus only make sense for official Hugging Face apps): +- `NEXT_PUBLIC_ENABLE_COMMUNITY_SHARING`: you don't need this +- `COMMUNITY_API_URL`: you don't need this +- `COMMUNITY_API_TOKEN`: you don't need this +- `COMMUNITY_API_ID`: you don't need this + +Please read the `.env` default config file for more informations. +To customise a variable locally, you should create a `.env.local` +(do not commit this file as it will contain your secrets). + +-> If you intend to run it with local, cloud-hosted and/or proprietary models **you are going to need to code 👨‍💻**. + +## The LLM API (Large Language Model) + +Currently the AI Comic Factory uses [zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) through an [Inference Endpoint](https://huggingface.co/docs/inference-endpoints/index). + +You have multiple options: + +### Option 1: Use an Inference API model + +This is a new option added recently, where you can use one of the models from the Hugging Face Hub. By default we suggest to use [zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) as it will provide better results than the 7b model. + +To activate it, create a `.env.local` configuration file: + +```bash +LLM_ENGINE="INFERENCE_API" + +HF_API_TOKEN="Your Hugging Face token" + +# "HuggingFaceH4/zephyr-7b-beta" is used by default, but you can change this +# note: You should use a model able to generate JSON responses, +# so it is storngly suggested to use at least the 34b model +HF_INFERENCE_API_MODEL="HuggingFaceH4/zephyr-7b-beta" +``` + +### Option 2: Use an Inference Endpoint URL + +If you would like to run the AI Comic Factory on a private LLM running on the Hugging Face Inference Endpoint service, create a `.env.local` configuration file: + +```bash +LLM_ENGINE="INFERENCE_ENDPOINT" + +HF_API_TOKEN="Your Hugging Face token" + +HF_INFERENCE_ENDPOINT_URL="path to your inference endpoint url" +``` + +To run this kind of LLM locally, you can use [TGI](https://github.com/huggingface/text-generation-inference) (Please read [this post](https://github.com/huggingface/text-generation-inference/issues/726) for more information about the licensing). + +### Option 3: Use an OpenAI API Key + +This is a new option added recently, where you can use OpenAI API with an OpenAI API Key. + +To activate it, create a `.env.local` configuration file: + +```bash +LLM_ENGINE="OPENAI" + +# default openai api base url is: https://api.openai.com/v1 +LLM_OPENAI_API_BASE_URL="A custom OpenAI API Base URL if you have some special privileges" + +LLM_OPENAI_API_MODEL="gpt-4-turbo" + +AUTH_OPENAI_API_KEY="Yourown OpenAI API Key" +``` +### Option 4: (new, experimental) use Groq + +```bash +LLM_ENGINE="GROQ" + +LLM_GROQ_API_MODEL="mixtral-8x7b-32768" + +AUTH_GROQ_API_KEY="Your own GROQ API Key" +``` +### Option 5: (new, experimental) use Anthropic (Claude) + +```bash +LLM_ENGINE="ANTHROPIC" + +LLM_ANTHROPIC_API_MODEL="claude-3-opus-20240229" + +AUTH_ANTHROPIC_API_KEY="Your own ANTHROPIC API Key" +``` + +### Option 6: Fork and modify the code to use a different LLM system + +Another option could be to disable the LLM completely and replace it with another LLM protocol and/or provider (eg. Claude, Replicate), or a human-generated story instead (by returning mock or static data). + +### Notes + +It is possible that I modify the AI Comic Factory to make it easier in the future (eg. add support for Claude or Replicate) + +## The Rendering API + +This API is used to generate the panel images. This is an API I created for my various projects at Hugging Face. + +I haven't written documentation for it yet, but basically it is "just a wrapper ™" around other existing APIs: + +- The [hysts/SD-XL](https://huggingface.co/spaces/hysts/SD-XL?duplicate=true) Space by [@hysts](https://huggingface.co/hysts) +- And other APIs for making videos, adding audio etc.. but you won't need them for the AI Comic Factory + +### Option 1: Deploy VideoChain yourself + +You will have to [clone](https://huggingface.co/spaces/jbilcke-hf/VideoChain-API?duplicate=true) the [source-code](https://huggingface.co/spaces/jbilcke-hf/VideoChain-API/tree/main) + +Unfortunately, I haven't had the time to write the documentation for VideoChain yet. +(When I do I will update this document to point to the VideoChain's README) + + +### Option 2: Use Replicate + +To use Replicate, create a `.env.local` configuration file: + +```bash +RENDERING_ENGINE="REPLICATE" + +RENDERING_REPLICATE_API_MODEL="stabilityai/sdxl" + +RENDERING_REPLICATE_API_MODEL_VERSION="da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf" + +AUTH_REPLICATE_API_TOKEN="Your Replicate token" +``` + +### Option 3: Use another SDXL API + +If you fork the project you will be able to modify the code to use the Stable Diffusion technology of your choice (local, open-source, proprietary, your custom HF Space etc). + +It would even be something else, such as Dall-E. diff --git a/ai-comic-factory/components.json b/ai-comic-factory/components.json new file mode 100644 index 0000000000000000000000000000000000000000..a9cc826aafae1cd3d9cab015d62ced6114c5862e --- /dev/null +++ b/ai-comic-factory/components.json @@ -0,0 +1,16 @@ +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "default", + "rsc": true, + "tsx": true, + "tailwind": { + "config": "tailwind.config.js", + "css": "app/globals.css", + "baseColor": "stone", + "cssVariables": false + }, + "aliases": { + "components": "@/components", + "utils": "@/lib/utils" + } +} \ No newline at end of file diff --git a/ai-comic-factory/next.config.js b/ai-comic-factory/next.config.js new file mode 100644 index 0000000000000000000000000000000000000000..580139d7868f1cbf8d75023b541b21e6b07840a8 --- /dev/null +++ b/ai-comic-factory/next.config.js @@ -0,0 +1,12 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + output: 'standalone', + + experimental: { + serverActions: { + bodySizeLimit: '8mb', + }, + } +} + +module.exports = nextConfig diff --git a/ai-comic-factory/package-lock.json b/ai-comic-factory/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..de06ac669e8fe1ca95347ec2b34159e0a7f61d2d --- /dev/null +++ b/ai-comic-factory/package-lock.json @@ -0,0 +1,11491 @@ +{ + "name": "@jbilcke/comic-factory", + "version": "1.2.3", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "@jbilcke/comic-factory", + "version": "1.2.3", + "dependencies": { + "@aitube/clap": "0.2.4", + 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+ + + + +
+

+ To use the favicons insert into your head section some of these tags accordly to your needs. +

+
+ 
+            
+                <!-- For old IEs -->
+                <link rel="shortcut icon" href="favicon.ico" />
+                
+                <!-- For new browsers - multisize ico  -->
+                <link rel="icon" type="image/x-icon" sizes="16x16 32x32" href="favicon.ico">
+                
+                <!-- For iPad with high-resolution Retina display running iOS ≥ 7: -->
+                <link rel="apple-touch-icon" sizes="152x152" href="favicon-152-precomposed.png">
+                
+                <!-- For iPad with high-resolution Retina display running iOS ≤ 6: -->
+                <link rel="apple-touch-icon" sizes="144x144" href="favicon-144-precomposed.png">
+                
+                <!-- For iPhone with high-resolution Retina display running iOS ≥ 7: -->
+                <link rel="apple-touch-icon" sizes="120x120" href="favicon-120-precomposed.png">
+                
+                <!-- For iPhone with high-resolution Retina display running iOS ≤ 6: -->
+                <link rel="apple-touch-icon" sizes="114x114" href="favicon-114-precomposed.png">
+                
+                <!-- For iPhone 6+ -->
+                <link rel="apple-touch-icon" sizes="180x180" href="favicon-180-precomposed.png">
+                
+                <!-- For first- and second-generation iPad: -->
+                <link rel="apple-touch-icon" sizes="72x72" href="favicon-72-precomposed.png">
+                
+                <!-- For non-Retina iPhone, iPod Touch, and Android 2.1+ devices: -->
+                <link rel="apple-touch-icon" sizes="57x57" href="favicon-57.png">
+                
+                <!-- For Old Chrome -->
+                <link rel="icon" sizes="32x32" href="favicon-32.png" >
+                
+                <!-- For IE10 Metro -->
+                <meta name="msapplication-TileColor" content="#FFFFFF">
+                <meta name="msapplication-TileImage" content="favicon-144.png">
+                <meta name="theme-color" content="#ffffff">
+                
+                <!-- Chrome for Android -->
+                <link rel="manifest" href="manifest.json">
+                <link rel="icon" sizes="192x192" href="favicon-192.png">
+                
+            
+
+ +
+ +

+ For more informations about favicons consult The Favicon Cheat Sheet by Audrey Roy. +

+ +
+ + diff --git a/ai-comic-factory/public/favicon/manifest.json b/ai-comic-factory/public/favicon/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d0d92afbc1530e91966f13b737cea8885bf5a111 --- /dev/null +++ b/ai-comic-factory/public/favicon/manifest.json @@ -0,0 +1,41 @@ +{ + "name": "pollo", + "icons": [ + { + "src": "\/favicon-36.png", + "sizes": "36x36", + "type": "image\/png", + "density": 0.75 + }, + { + "src": "\/favicon-48.png", + "sizes": "48x48", + "type": "image\/png", + "density": 1 + }, + { + "src": "\/favicon-72.png", + "sizes": "72x72", + "type": "image\/png", + "density": 1.5 + }, + { + "src": "\/favicon-96.png", + "sizes": "96x96", + "type": "image\/png", + "density": 2 + }, + { + "src": "\/favicon-144.png", + "sizes": "144x144", + "type": "image\/png", + "density": 3 + }, + { + "src": "\/favicon-192.png", + "sizes": "192x192", + "type": "image\/png", + "density": 4 + } + ] +} diff --git a/ai-comic-factory/public/icon.png 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index 0000000000000000000000000000000000000000..11e8f78f1de68e7816d1e4e0fec1752c2304cbce --- /dev/null +++ b/ai-comic-factory/src/app/engine/caption.ts @@ -0,0 +1,54 @@ +"use server" + +import { ImageAnalysisRequest, ImageAnalysisResponse } from "@/types" + +const apiUrl = `${process.env.RENDERING_VIDEOCHAIN_API_URL || ""}` + +export async function see({ + prompt, + imageBase64 +}: { + prompt: string + imageBase64: string +}): Promise { + if (!prompt) { + console.error(`cannot call the API without an image, aborting..`) + throw new Error(`cannot call the API without an image, aborting..`) + } + + try { + const request = { + prompt, + image: imageBase64 + + } as ImageAnalysisRequest + + console.log(`calling ${apiUrl}/analyze called with: `, { + prompt: request.prompt, + image: request.image.slice(0, 20) + }) + + const res = await fetch(`${apiUrl}/analyze`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + // Authorization: `Bearer ${videochainApi}`, + }, + body: JSON.stringify(request), + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as ImageAnalysisResponse + return response.result + } catch (err) { + console.error(err) + return "" + } +} diff --git a/ai-comic-factory/src/app/engine/censorship.ts b/ai-comic-factory/src/app/engine/censorship.ts new file mode 100644 index 0000000000000000000000000000000000000000..ae4cc0b98b1cc09b9dda0aed35767bb7faee3b6e --- /dev/null +++ b/ai-comic-factory/src/app/engine/censorship.ts @@ -0,0 +1,184 @@ + +// I don't want to be banned by Replicate because bad actors are asking +// for some naked anime stuff or whatever +// I also want to avoid a PR scandal due to some bad user generated content + +import { computeSecretFingerprint } from "@/lib/computeSecretFingerprint" + +// those keywords have been generated by looking at the logs of the panorama and the AI Comic Factory +// those are real requests some users tried to attempt.. :| + +const chickens = [ + "fcb4dacbd99b21368c50f29c1d47071c87cf2225ab9192282c785460391cd365", + "68840b60ac27eacaa7afe17e898d3c4a2dc71acff8c74d6782c1bcaafd14963d", + "67f745224fd6e1a7a3a244514d5807fcc994cbb62ca4ec8fa44cd14244a515ae", + "681fea565117808c6dbe002520d2cfeeb3e5c67e68630afb4a453449a9da587b", + "2f3d913b3db9e15a930aac43eb2d6fe8817db8e4bcf37794bf0227b06b718d1b", + "922a700b807e4994df82eba2b48a6ac131fe8d8d1035d06b3592d622fb232161", + "cb69ee6774eafcc720adb1f689d28acbb9f47998cbea0299ec66a58dedf91c37" +] + +const ducks = [ + "1c52cb20c0cbc76349fa63232b982bd394cf0850ebc17240dcf33c19fb15a26d", + "e1d4de9b8d464d7da07c276b63a42c1c9922224f0a6cab6b0826427ce4a7461a", + "0be3174bfb1a48a65875c2f035b1ae14fbc8f232f55785018de0cfe2132fa952", + "0f174769641b2e5d2c79b5a83e8ef91e004f6f3e62531cd70cfdff02159268cb", + "e9fb8ae8ff720acd91025229478a21e43e8e976e30119a76c293201adf572736", + "f65a0dc0e07b5d084ff24c69dcdb953f7b57101d2ebb716d4dfb5963076ef807", + "2bf38af1646489c2c086f811d082054cd29e23fa7bb5c525396bec01b3ab688e" +] + +const cats = [ + "fcffc3e997d952007d1b902a9cf40b750ba4a410ac65bfd95475996bf51359e4", + "3172a5fa159754d703489dfba5af520b8ace107cdf170f4c4cb38a6797aa163f", + "500012dbff4498a9c4513369d6b9b373fab9330ffd2cb1e622294043cc21b610", + "84e3a8d34ee7d0c8e7a2926dd1acad46a0b66b9d27725b3a7e5053550f490301" +] + +const roasted = [ + "a2bfbce0046c9a52a0eabf98f73e0f8e09959970431fc892ebdb4e1c97031b50", + "6eca1adf06851f99e9cdfbb496c27d46ff81106903d11f3346a146e96082b016", + "49a124c9ed6fbbad4105b3657dc25de369bcafb9d6787f610c08f584cd607d0f", + "c3afb59420c812cbc7c8f57ad3e8d79407f10106a99f829aa65316c99d0b29c4", + "2b808858836a5c205080f5b93201ef92e098cff931d8de6d9f20dc722997d077", + "07bef89d1a7d63c9c5ed64ba0f73d6cff689811847c2e20c8b3fbfb060e1d64e", + "baeb994922d5473f534aa54322d83effe74c6c4dac807e6b523a677d7acdc17b", + "ea4735a879edd5cc94ca7db26edd5a970df69a41f0009d3444486647e44175af", + "f2412249030454cd13ac6f7965871d924c16daacda0123de81892adb19ce49ac", + "9958c56e12bab8549cf752bcd8bec4ac36cf79c404b1faf5611f057bb71bc0e1", + "76cdade0b3d4caf0888f60318a5cbca00f830a3b0bf37735fc64fdaeb67c34d3", + "1bf53c97869e1ea89bda19da64a9173d48fe4ec823e949e2c898f8abb3fbf457", + "1bf53c97869e1ea89bda19da64a9173d48fe4ec823e949e2c898f8abb3fbf457", + "3d7f973fab8f4a19c0a3e59efe970ed7bd55a1cb795752d9cbe3c19e8a7d81ec" +] + +const banned = [ + "8a05d4869d9d6ce388c6cd2db13ca12b88097b90f9be027d5ffaaa467c7a6e5e", + "0c475212a608138244c5fc150b1563e5ef79c516234fd78dcd5993f726c359a0", + "df17388805f99f2ff3e5ae97a0f55e5c927eb47f17ca65822bf8c88f02bac3dd", + "86c3355d1bd581cdf7306729d8dd0ee9b7a317b9cfd6d7a6f5fad9c0dafe2167", + "23a2484cd420c9ffbfcc2c0075a9b330664450ced1fc64ab6a65e278086b8c6e", + "fb4cabe709b62eea1b4cc0030c76f5e4a43ee677ce19124e8e7bafa86c78ab66", 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"6df5aa7b72a4e6e3fb726489ff1437daa5752047507f4da912680b1d6647c7d6", + "b0864805364359e8c5810c233b1bf2c74dedce9055ae5f7680ba05b4e39db8e2", + "a8f841472ecffdd6266151148320c8e36847a24ead9d3338e0313b075c16649d", + "f9b127cd90e85b0ff68dd220361671663f0154b2b827f1f7ea797b020ca0018c", + "d5c20e9a1ecf01c82da24c514d867498b3e5f522adc1523ce29404a6563641d5", + "241022b49d7c0aba24a61eea1137a804f36e4bcb47af42950275baac9b4e7aac", + "fc99a70e17b6c86ef1b537654b0f50353567a7b59912c3ba955f3fca4d1ea696", + "255306e968009003d295cb2a7256f27bfcdb5d1743bf4d9f2aa4b8adf1a7734d", + "048c7b709763dd9c43794d241c369f0abcb079d546ddcbbba9968a1ed1da7ed7", + "520cbfeef3e4c405d79478eedccb97a4d476be585626dd2b1c53292797491bc7", + "f9f28a7ae7e8b1719b350a04dc087a4b8e33478d109ceeef6ba892b32d1105c9", + "d177f1bfe603647ef4c1c0e6f1a7172081fb9bbc2ea859705949f2c5aa5d4f22", + "302feef2c09247fbd23789581f7f5e2219f88ae0a937880954938573c2a52a84", + "99edd6f57b864873835f16f19c805dd94bed9da8967b84e3a62782f106d9ebcc", + 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"c9b6b26cb3a694eb78fcac0a14ad18d46d50907186a9add41022d31d191b2b65" +] + +const young = [ + "ffdf66787b4a33b78b18c18822e334cfe2c8406caf442851deef451bd43140a1", + "858f22219afc4b32a7ba9a27a213d7f495e77c3cceed8147eae5282bf3e23d39", + "8c3c46df84ace3d58d4ce0fbc513017986b33c6002ae369d9f7dd1f892a898cb", + "66caa22b9483fdf026ce67de61067d81535a7c9b3169cbc5c2a455ac8dcc7bec", + "76893047b1eff9fadc7be07b13adb5aaed9c73bcdeea46ee07098605e2c7ff76", + "526cb848754e2baaa17376a5693d90ba3f69f71fd2a866f22876ac8a075849a7", + "f59c38e31d0f64dc1bfcdf34451723bc1a65570e209e5496c8d1d7f6d3d649db", + "e013a67e275c62c1402ccbbb11ad14afb8b8a82318a44c07d67599ed5ac874de", + "3bef34219fb07f867ecbff4d6748f598d6cc0761e17dd0d431ee1f4ec3281374", + "8211bf5f613fac06cd5d074d34c16dfacc9367c8afaa6ad3aff99d145e5221be" +] + +const getFingerprint = (word: string) => { + return computeSecretFingerprint( + word.toLocaleLowerCase().replaceAll(/[^a-zA-Z0-9]/gi, "") + ) +} + +const encode = (list: string[]) => { + console.log(JSON.stringify( + list.sort((a, b) => (b.length - a.length)) + .map(item => getFingerprint(item)), null, 2)) +} + +// encode([ "badword" ]) + +export const filterOutBadWords = (sentence: string) => { + if (process.env.ENABLE_CENSORSHIP !== "true") { return sentence } + + let requireCensorship = false + + const words = sentence.replaceAll(/[^a-zA-Z0-9]/gi, " ").replaceAll(/\s+/gi, " ").trim().split(" ") + + const sanitized = words.map(word => { + const fingerprint = getFingerprint(word) + + let result: string = word + // some users want to play it smart and bypass our system so let's play too + if (chickens.includes(fingerprint)) { + result = "large chicken" + } else if (ducks.includes(fingerprint)) { + result = "big duck" + } else if (cats.includes(fingerprint)) { + result = "cat" + } else if (roasted.includes(fingerprint)) { + result = "roasted chicken" + } else if (young.includes(fingerprint)) { + result = "adult" + } else if (banned.includes(fingerprint)) { + result = "_BANNED_" + } + + if (result !== word) { + requireCensorship = true + } + return result + }).filter(item => item !== "_BANNED_").join(" ") + + // if the user didn't try to use a bad word, we leave it untouched + // he words array has been degraded by the replace operation, but it removes commas etc which isn't great + // so if the request was genuine and SFW, it's best to return the original prompt + return requireCensorship ? sanitized : sentence +} \ No newline at end of file diff --git a/ai-comic-factory/src/app/engine/community.ts b/ai-comic-factory/src/app/engine/community.ts new file mode 100644 index 0000000000000000000000000000000000000000..33bc412fac7767d707861e125d1c1434e7cd286c --- /dev/null +++ b/ai-comic-factory/src/app/engine/community.ts @@ -0,0 +1,135 @@ +"use server" + +import { v4 as uuidv4 } from "uuid" + +import { CreatePostResponse, GetAppPostsResponse, Post, PostVisibility } from "@/types" +import { filterOutBadWords } from "./censorship" + +const apiUrl = `${process.env.COMMUNITY_API_URL || ""}` +const apiToken = `${process.env.COMMUNITY_API_TOKEN || ""}` +const appId = `${process.env.COMMUNITY_API_ID || ""}` + +export async function postToCommunity({ + prompt, + assetUrl, +}: { + prompt: string + assetUrl: string +}): Promise { + + prompt = filterOutBadWords(prompt) + + // if the community API is disabled, + // we don't fail, we just mock + if (!apiUrl) { + const mockPost: Post = { + postId: uuidv4(), + appId: "mock", + prompt, + previewUrl: assetUrl, + assetUrl, + createdAt: new Date().toISOString(), + visibility: "normal", + upvotes: 0, + downvotes: 0 + } + return mockPost + } + + if (!prompt) { + console.error(`cannot call the community API without a prompt, aborting..`) + throw new Error(`cannot call the community API without a prompt, aborting..`) + } + if (!assetUrl) { + console.error(`cannot call the community API without an assetUrl, aborting..`) + throw new Error(`cannot call the community API without an assetUrl, aborting..`) + } + + try { + console.log(`calling POST ${apiUrl}/posts/${appId} with prompt: ${prompt}`) + + const postId = uuidv4() + + const post: Partial = { postId, appId, prompt, assetUrl } + + console.table(post) + + const res = await fetch(`${apiUrl}/posts/${appId}`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${apiToken}`, + }, + body: JSON.stringify(post), + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + // console.log("res:", res) + // The return value is *not* serialized + // You can return Date, Map, Set, etc. + + // Recommendation: handle errors + if (res.status !== 200) { + // This will activate the closest `error.js` Error Boundary + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as CreatePostResponse + // console.log("response:", response) + return response.post + } catch (err) { + const error = `failed to post to community: ${err}` + console.error(error) + throw new Error(error) + } +} + +export async function getLatestPosts(visibility?: PostVisibility): Promise { + + let posts: Post[] = [] + + // if the community API is disabled we don't fail, + // we just mock + if (!apiUrl) { + return posts + } + + try { + // console.log(`calling GET ${apiUrl}/posts with renderId: ${renderId}`) + const res = await fetch(`${apiUrl}/posts/${appId}/${ + visibility || "all" + }`, { + method: "GET", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${apiToken}`, + }, + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + // console.log("res:", res) + // The return value is *not* serialized + // You can return Date, Map, Set, etc. + + // Recommendation: handle errors + if (res.status !== 200) { + // This will activate the closest `error.js` Error Boundary + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as GetAppPostsResponse + // console.log("response:", response) + return Array.isArray(response?.posts) ? response?.posts : [] + } catch (err) { + // const error = `failed to get posts: ${err}` + // console.error(error) + // throw new Error(error) + return [] + } +} \ No newline at end of file diff --git a/ai-comic-factory/src/app/engine/forbidden.ts b/ai-comic-factory/src/app/engine/forbidden.ts new file mode 100644 index 0000000000000000000000000000000000000000..512b65e22b18f3bd39f6aec58198576b2ffc67f5 --- /dev/null +++ b/ai-comic-factory/src/app/engine/forbidden.ts @@ -0,0 +1,6 @@ + +// the NSFW has to contain bad words, but doing so might get the code flagged +// or attract unwanted attention, so we hash them +export const forbidden = [ + // TODO implement this +] \ No newline at end of file diff --git a/ai-comic-factory/src/app/engine/presets.ts b/ai-comic-factory/src/app/engine/presets.ts new file mode 100644 index 0000000000000000000000000000000000000000..3933dc1ff58f941efe43c57f020f0182c26d58f1 --- /dev/null +++ b/ai-comic-factory/src/app/engine/presets.ts @@ -0,0 +1,679 @@ +import { FontName, actionman, komika, vtc } from "@/lib/fonts" +import { pick } from "@/lib/pick" +import { NextFontWithVariable } from "next/dist/compiled/@next/font" + +export type ComicFamily = + | "american" + | "asian" + | "european" + +export type ComicColor = + | "color" + | "grayscale" + | "monochrome" + +export interface Preset { + id: string + label: string + family: ComicFamily + color: ComicColor + font: FontName + llmPrompt: string + imagePrompt: (prompt: string) => string[] + negativePrompt: (prompt: string) => string[] +} + +// ATTENTION!! negative prompts are not supported by the VideoChain API yet + +export const presets: Record = { + random: { + id: "random", + label: "Random style", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "", + imagePrompt: (prompt: string) => [], + negativePrompt: () => [], + }, + neutral: { + id: "neutral", + label: "Neutral (no style)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "", + imagePrompt: (prompt: string) => [ + prompt, + ], + negativePrompt: () => [ ], + }, + /* + video_3d_style: { + id: "video_3d_style", + label: "[video] 3D style", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + prompt, + ], + negativePrompt: () => [ ], + }, + */ + japanese_manga: { + id: "japanese_manga", + label: "Japanese", + family: "asian", + color: "grayscale", + font: "actionman", + llmPrompt: "japanese manga", + imagePrompt: (prompt: string) => [ + `grayscale`, + `detailed drawing`, + `japanese manga`, + prompt, + // "single panel", + // "manga", + // "japanese", + // "intricate", + // "detailed", + // "drawing" + ], + negativePrompt: () => [ + "franco-belgian comic", + "color album", + "color", + "american comic", + "photo", + "painting", + "3D render" + ], + }, + nihonga: { + id: "nihonga", + label: "Nihonga", + family: "asian", + color: "color", + font: "actionman", + llmPrompt: "japanese manga", + imagePrompt: (prompt: string) => [ + `japanese nihonga painting about ${prompt}`, + "Nihonga", + "ancient japanese painting", + "intricate", + "detailed", + "detailed painting" + // "drawing" + ], + negativePrompt: () => [ + "franco-belgian comic", + "color album", + "color", + "manga", + "comic", + "american comic", + "photo", + "painting", + "3D render" + ], + }, + franco_belgian: { + id: "franco_belgian", + label: "Franco-Belgian", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "Franco-Belgian comic (a \"bande dessinée\"), in the style of Franquin, Moebius etc", + imagePrompt: (prompt: string) => [ + "bande dessinée", + "franco-belgian comic", + prompt, + "comic album", + "detailed drawing" + // "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + american_comic_90: { + id: "american_comic_90", + label: "American (modern)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "american comic", + imagePrompt: (prompt: string) => [ + "digital color comicbook style", + `modern american comic`, + prompt, + "detailed drawing" + //"single panel", + // "2010s", + // "digital print", + // "color comicbook", + // "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "action", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + + /* + american_comic_40: { + label: "American (1940)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "american comic", + imagePrompt: (prompt: string) => [ + `american comic`, + prompt, + "single panel", + "american comic", + "comicbook style", + "1940", + "40s", + "color comicbook", + "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "action", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + */ + american_comic_50: { + id: "american_comic_50", + label: "American (1950)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "american comic", + imagePrompt: (prompt: string) => [ + "1950", + "50s", + `vintage american color comic`, + prompt, + "detailed drawing" + // "single panel", + // "comicbook style", + // "color comicbook", + // "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "action", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + /* + american_comic_60: { + label: "American (1960)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "american comic", + imagePrompt: (prompt: string) => [ + `american comic`, + prompt, + "single panel", + "american comic", + "comicbook style", + "1960", + "60s", + "color comicbook", + "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "action", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + */ + + + flying_saucer: { + id: "flying_saucer", + label: "Flying saucer", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new pulp science fiction", + imagePrompt: (prompt: string) => [ + `vintage science fiction`, + // "40s", + "color pulp comic panel", + "1940", + `${prompt}`, + "detailed drawing" + // "single panel", + // "comic album" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + + humanoid: { + id: "humanoid", + label: "Humanoid", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "comic books by Moebius", + imagePrompt: (prompt: string) => [ + `color comic panel`, + "style of Moebius", + `${prompt}`, + "detailed drawing", + "french comic panel", + "franco-belgian style", + "bande dessinée", + "single panel", + // "comic album" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + haddock: { + id: "haddock", + label: "Haddock", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "writing Tintin comic books", + imagePrompt: (prompt: string) => [ + `color comic panel`, + "style of Hergé", + "tintin style", + `${prompt}`, + "by Hergé", + "french comic panel", + "franco-belgian style", + // "color panel", + // "bande dessinée", + // "single panel", + // "comic album" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + /* + lurid: { + id: "lurid", + label: "Lurid", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "1970s satirical and alternative underground comics", + imagePrompt: (prompt: string) => [ + `satirical color comic`, + `underground comix`, + `1970`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + armorican: { + id: "armorican", + label: "Armorican", + family: "european", + color: "monochrome", + font: "actionman", + llmPrompt: "french style comic books set in ancient Rome and Gaul", + imagePrompt: (prompt: string) => [ + `color comic panel`, + "romans", + "gauls", + "french comic panel", + "franco-belgian style", + `about ${prompt}`, + "bande dessinée", + "single panel", + // "comical", + // "comic album", + // "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + render: { + id: "render", + label: "3D Render", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `3D render animation`, + `Pixar`, + `cute`, + `funny`, + `Unreal engine`, + `${prompt}`, + `crisp`, + `sharp` + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + klimt: { + id: "klimt", + label: "Klimt", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "Gustav Klimt art pieces.", + imagePrompt: (prompt: string) => [ + `golden`, + `patchwork`, + `style of Gustav Klimt`, + `Gustav Klimt painting`, + `${prompt}`, + `detailed painting`, + `intricate details` + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + medieval: { + id: "medieval", + label: "Medieval", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "medieval story (write in this style)", + imagePrompt: (prompt: string) => [ + `medieval illuminated manuscript`, + `illuminated manuscript of`, + `medieval`, + // `medieval color engraving`, + `${prompt}`, + `intricate details`, + // `medieval` + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + /* + glass: { + id: "glass", + label: "Glass", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `stained glass`, + `vitrail`, + `stained glass`, + // `medieval color engraving`, + `${prompt}`, + `medieval`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + /* + voynich: { + id: "voynich", + label: "Voynich", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `voynich`, + `voynich page`, + // `medieval color engraving`, + `${prompt}`, + `medieval`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + egyptian: { + id: "egyptian", + label: "Egyptian", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "ancient egyptian stories.", + imagePrompt: (prompt: string) => [ + `ancient egyptian wall painting`, + `ancient egypt`, + // `medieval color engraving`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + /* + psx: { + label: "PSX", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `videogame screenshot`, + `3dfx`, + `3D dos game`, + `software rendering`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + /* + pixel: { + label: "Pixel", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `pixelart`, + `isometric`, + `pixelated`, + `low res`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + photonovel: { + id: "photonovel", + label: "Vintage photonovel", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `vintage photo`, + `1950`, + `1960`, + `french new wave`, + `faded colors`, + `color movie screencap`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + stockphoto: { + id: "stockphoto", + label: "Stock photo", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `cinematic`, + `hyperrealistic`, + `footage`, + `sharp 8k`, + `analog`, + `instagram`, + `photoshoot`, + `${prompt}`, + `crisp details` + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, +} + +export type PresetName = keyof typeof presets + +export const defaultPreset: PresetName = "american_comic_50" + +export const nonRandomPresets = Object.keys(presets).filter(p => p !== "random") + +export const getPreset = (preset?: PresetName): Preset => presets[preset || defaultPreset] || presets[defaultPreset] + +export const getRandomPreset = (): Preset => { + const presetName = pick(Object.keys(presets).filter(preset => preset !== "random")) as PresetName + return getPreset(presetName) +} \ No newline at end of file diff --git a/ai-comic-factory/src/app/engine/render.ts b/ai-comic-factory/src/app/engine/render.ts new file mode 100644 index 0000000000000000000000000000000000000000..c26c9b575d119fc647717b4a19aa7029a5293872 --- /dev/null +++ b/ai-comic-factory/src/app/engine/render.ts @@ -0,0 +1,592 @@ +"use server" + +import { v4 as uuidv4 } from "uuid" +import Replicate from "replicate" + +import { RenderRequest, RenderedScene, RenderingEngine, Settings } from "@/types" +import { generateSeed } from "@/lib/generateSeed" +import { sleep } from "@/lib/sleep" + +const serverRenderingEngine = `${process.env.RENDERING_ENGINE || ""}` as RenderingEngine + +// TODO: we should split Hugging Face and Replicate backends into separate files +const serverHuggingfaceApiKey = `${process.env.AUTH_HF_API_TOKEN || ""}` +const serverHuggingfaceApiUrl = `${process.env.RENDERING_HF_INFERENCE_ENDPOINT_URL || ""}` +const serverHuggingfaceInferenceApiModel = `${process.env.RENDERING_HF_INFERENCE_API_BASE_MODEL || ""}` +const serverHuggingfaceInferenceApiModelRefinerModel = `${process.env.RENDERING_HF_INFERENCE_API_REFINER_MODEL || ""}` +const serverHuggingfaceInferenceApiModelTrigger = `${process.env.RENDERING_HF_INFERENCE_API_MODEL_TRIGGER || ""}` +const serverHuggingfaceInferenceApiFileType = `${process.env.RENDERING_HF_INFERENCE_API_FILE_TYPE || ""}` + +const serverReplicateApiKey = `${process.env.AUTH_REPLICATE_API_TOKEN || ""}` +const serverReplicateApiModel = `${process.env.RENDERING_REPLICATE_API_MODEL || ""}` +const serverReplicateApiModelVersion = `${process.env.RENDERING_REPLICATE_API_MODEL_VERSION || ""}` +const serverReplicateApiModelTrigger = `${process.env.RENDERING_REPLICATE_API_MODEL_TRIGGER || ""}` + +const videochainToken = `${process.env.AUTH_VIDEOCHAIN_API_TOKEN || ""}` +const videochainApiUrl = `${process.env.RENDERING_VIDEOCHAIN_API_URL || ""}` + +const serverOpenaiApiKey = `${process.env.AUTH_OPENAI_API_KEY || ""}` +const serverOpenaiApiBaseUrl = `${process.env.RENDERING_OPENAI_API_BASE_URL || "https://api.openai.com/v1"}` +const serverOpenaiApiModel = `${process.env.RENDERING_OPENAI_API_MODEL || "dall-e-3"}` + +export async function newRender({ + prompt, + // negativePrompt, + nbFrames, + width, + height, + withCache, + settings, +}: { + prompt: string + // negativePrompt: string[] + width: number + height: number + nbFrames: number + withCache: boolean + settings: Settings +}) { + // throw new Error("Planned maintenance") + if (!prompt) { + const error = `cannot call the rendering API without a prompt, aborting..` + console.error(error) + throw new Error(error) + } + + let defaulResult: RenderedScene = { + renderId: "", + status: "error", + assetUrl: "", + alt: prompt || "", + maskUrl: "", + error: "failed to fetch the data", + segments: [] + } + + const nbInferenceSteps = 30 + const guidanceScale = 9 + + let renderingEngine = serverRenderingEngine + let openaiApiKey = serverOpenaiApiKey + let openaiApiModel = serverOpenaiApiModel + + let replicateApiKey = serverReplicateApiKey + let replicateApiModel = serverReplicateApiModel + let replicateApiModelVersion = serverReplicateApiModelVersion + let replicateApiModelTrigger = serverReplicateApiModelTrigger + + let huggingfaceApiKey = serverHuggingfaceApiKey + let huggingfaceInferenceApiModel = serverHuggingfaceInferenceApiModel + let huggingfaceApiUrl = serverHuggingfaceApiUrl + let huggingfaceInferenceApiModelRefinerModel = serverHuggingfaceInferenceApiModelRefinerModel + let huggingfaceInferenceApiModelTrigger = serverHuggingfaceInferenceApiModelTrigger + let huggingfaceInferenceApiFileType = serverHuggingfaceInferenceApiFileType + + const placeholder = "" + + const negativePrompt = "speech bubble, caption, subtitle" + + // console.log("settings:", JSON.stringify(settings, null, 2)) + + if ( + settings.renderingModelVendor === "OPENAI" && + settings.openaiApiKey && + settings.openaiApiKey !== placeholder && + settings.openaiApiModel + ) { + console.log("using OpenAI using user credentials (hidden)") + renderingEngine = "OPENAI" + openaiApiKey = settings.openaiApiKey + openaiApiModel = settings.openaiApiModel + } if ( + settings.renderingModelVendor === "REPLICATE" && + settings.replicateApiKey && + settings.replicateApiKey !== placeholder && + settings.replicateApiModel && + settings.replicateApiModelVersion + ) { + console.log("using Replicate using user credentials (hidden)") + renderingEngine = "REPLICATE" + replicateApiKey = settings.replicateApiKey + replicateApiModel = settings.replicateApiModel + replicateApiModelVersion = settings.replicateApiModelVersion + replicateApiModelTrigger = settings.replicateApiModelTrigger + } else if ( + settings.renderingModelVendor === "HUGGINGFACE" && + settings.huggingfaceApiKey && + settings.huggingfaceApiKey !== placeholder && + settings.huggingfaceInferenceApiModel + ) { + console.log("using Hugging Face using user credentials (hidden)") + renderingEngine = "INFERENCE_API" + huggingfaceApiKey = settings.huggingfaceApiKey + huggingfaceInferenceApiModel = settings.huggingfaceInferenceApiModel + huggingfaceInferenceApiModelTrigger = settings.huggingfaceInferenceApiModelTrigger + huggingfaceInferenceApiFileType = settings.huggingfaceInferenceApiFileType + } + + try { + if (renderingEngine === "OPENAI") { + + /* + const openai = new OpenAI({ + apiKey: openaiApiKey + }); + */ + + // When using DALL·E 3, images can have a size of 1024x1024, 1024x1792 or 1792x1024 pixels. + // the improved resolution is nice, but the AI Comic Factory needs a special ratio + // anyway, let's see what we can do + + const size = + width > height ? '1792x1024' : + width < height ? '1024x1792' : + '1024x1024' + + /* + const response = await openai.createImage({ + model: "dall-e-3", + prompt, + n: 1, + size: size as any, + // quality: "standard", + }) + */ + + const res = await fetch(`${serverOpenaiApiBaseUrl}/images/generations`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${openaiApiKey}`, + }, + body: JSON.stringify({ + model: openaiApiModel, + prompt, + n: 1, + size, + // quality: "standard", + }), + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as { data: { url: string }[] } + + // console.log("response:", response) + return { + renderId: uuidv4(), + status: "completed", + assetUrl: response.data[0].url || "", + alt: prompt, + error: "", + maskUrl: "", + segments: [] + } as RenderedScene + } else if (renderingEngine === "REPLICATE") { + if (!replicateApiKey || `${replicateApiKey || ""}`.length < 8) { + throw new Error(`invalid replicateApiKey, you need to configure your REPLICATE_API_TOKEN in order to use the REPLICATE rendering engine`) + } + + if (!replicateApiModel) { + throw new Error(`invalid replicateApiModel, you need to configure your REPLICATE_API_MODEL in order to use the REPLICATE rendering engine`) + } + + const replicate = new Replicate({ auth: replicateApiKey }) + + const seed = generateSeed() + const prediction = await replicate.predictions.create({ + model: replicateApiModelVersion + ? `${replicateApiModel}:${replicateApiModelVersion}` + : `${replicateApiModel}`, + input: { + prompt: [ + "beautiful", + // "intricate details", + replicateApiModelTrigger || "", + prompt, + "award winning", + "high resolution" + ].filter(x => x).join(", "), + width, + height, + seed, + ...replicateApiModelTrigger && { + lora_scale: 0.85 // we generally want something high here + }, + } + }) + + // no need to reply straight away as images take time to generate, this isn't instantaneous + // also our friends at Replicate won't like it if we spam them with requests + await sleep(1000) + + return { + renderId: prediction.id, + status: "pending", + assetUrl: "", + alt: prompt, + error: prediction.error, + maskUrl: "", + segments: [] + } as RenderedScene + } if (renderingEngine === "INFERENCE_ENDPOINT" || renderingEngine === "INFERENCE_API") { + if (!huggingfaceApiKey) { + throw new Error(`invalid huggingfaceApiKey, you need to configure your HF_API_TOKEN in order to use the ${renderingEngine} rendering engine`) + } + if (renderingEngine === "INFERENCE_ENDPOINT" && !huggingfaceApiUrl) { + throw new Error(`invalid huggingfaceApiUrl, you need to configure your RENDERING_HF_INFERENCE_ENDPOINT_URL in order to use the INFERENCE_ENDPOINT rendering engine`) + } + if (renderingEngine === "INFERENCE_API" && !huggingfaceInferenceApiModel) { + throw new Error(`invalid huggingfaceInferenceApiModel, you need to configure your RENDERING_HF_INFERENCE_API_BASE_MODEL in order to use the INFERENCE_API rendering engine`) + } + + const baseModelUrl = renderingEngine === "INFERENCE_ENDPOINT" + ? huggingfaceApiUrl + : `https://api-inference.huggingface.co/models/${huggingfaceInferenceApiModel}` + + const positivePrompt = [ + "beautiful", + // "intricate details", + huggingfaceInferenceApiModelTrigger || "", + prompt, + "award winning", + "high resolution" + ].filter(x => x).join(", ") + + const res = await fetch(baseModelUrl, { + method: "POST", + headers: { + "Content-Type": "application/json", + Accept: huggingfaceInferenceApiFileType, + Authorization: `Bearer ${huggingfaceApiKey}`, + }, + body: JSON.stringify({ + inputs: positivePrompt, + parameters: { + num_inference_steps: nbInferenceSteps, + guidance_scale: guidanceScale, + width, + height, + }, + + // this doesn't do what you think it does + use_cache: false, // withCache, + }), + cache: "no-store", + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + + // Recommendation: handle errors + if (res.status !== 200) { + const content = await res.text() + console.error(content) + // This will activate the closest `error.js` Error Boundary + throw new Error('Failed to fetch data') + } + + const blob = await res.arrayBuffer() + + const contentType = res.headers.get('content-type') + + let assetUrl = `data:${contentType};base64,${Buffer.from(blob).toString('base64')}` + + // note: there is no "refiner" step yet for custom inference endpoint + // you probably don't need it anyway, as you probably want to deploy an all-in-one model instead for perf reasons + + if (renderingEngine === "INFERENCE_API" && huggingfaceInferenceApiModelRefinerModel) { + try { + const refinerModelUrl = `https://api-inference.huggingface.co/models/${huggingfaceInferenceApiModelRefinerModel}` + + const res = await fetch(refinerModelUrl, { + method: "POST", + headers: { + "Content-Type": "application/json", + Authorization: `Bearer ${huggingfaceApiKey}`, + }, + body: JSON.stringify({ + inputs: Buffer.from(blob).toString('base64'), + parameters: { + prompt: positivePrompt, + negative_prompt: negativePrompt, + num_inference_steps: nbInferenceSteps, + guidance_scale: guidanceScale, + width, + height, + }, + + // this doesn't do what you think it does + use_cache: false, // withCache, + }), + cache: "no-store", + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + + // Recommendation: handle errors + if (res.status !== 200) { + const content = await res.json() + // if (content.error.include("currently loading")) { + // console.log("refiner isn't ready yet") + throw new Error(content?.error || 'Failed to fetch data') + } + + const refinedBlob = await res.arrayBuffer() + + const contentType = res.headers.get('content-type') + + assetUrl = `data:${contentType};base64,${Buffer.from(refinedBlob).toString('base64')}` + + } catch (err) { + console.log(`Refiner step failed, but this is not a blocker. Error details: ${err}`) + } + } + + return { + renderId: uuidv4(), + status: "completed", + assetUrl, + alt: prompt, + error: "", + maskUrl: "", + segments: [] + } as RenderedScene + } else { + + const res = await fetch(`${videochainApiUrl}${videochainApiUrl.endsWith("/") ? "" : "/"}render`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${videochainToken}`, + }, + body: JSON.stringify({ + prompt, + negativePrompt, + + // for a future version of the comic factory + identityImage: "", + + nbFrames, + + nbSteps: nbInferenceSteps, // 20 = fast, 30 = better, 50 = best + actionnables: [], // ["text block"], + segmentation: "disabled", // "firstframe", // one day we will remove this param, to make it automatic + width, + height, + + // no need to upscale right now as we generate tiny panels + // maybe later we can provide an "export" button to PDF + // unfortunately there are too many requests for upscaling, + // the server is always down + upscalingFactor: 1, // 2, + + // let's completely disable turbo mode, it doesn't work well for drawings and comics, + // basically all the people I talked to said it sucked + turbo: false, // settings.renderingUseTurbo, + + // analyzing doesn't work yet, it seems.. + analyze: false, // analyze: true, + + cache: "ignore" + } as Partial), + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as RenderedScene + + return response + } + } catch (err) { + console.error(err) + return defaulResult + } +} + +export async function getRender(renderId: string, settings: Settings) { + if (!renderId) { + const error = `cannot call the rendering API without a renderId, aborting..` + console.error(error) + throw new Error(error) + } + + + let renderingEngine = serverRenderingEngine + let openaiApiKey = serverOpenaiApiKey + let openaiApiModel = serverOpenaiApiModel + + let replicateApiKey = serverReplicateApiKey + let replicateApiModel = serverReplicateApiModel + let replicateApiModelVersion = serverReplicateApiModelVersion + let replicateApiModelTrigger = serverReplicateApiModelTrigger + + let huggingfaceApiKey = serverHuggingfaceApiKey + let huggingfaceInferenceApiModel = serverHuggingfaceInferenceApiModel + let huggingfaceInferenceApiModelTrigger = serverHuggingfaceInferenceApiModelTrigger + let huggingfaceApiUrl = serverHuggingfaceApiUrl + let huggingfaceInferenceApiModelRefinerModel = serverHuggingfaceInferenceApiModelRefinerModel + + const placeholder = "" + + if ( + settings.renderingModelVendor === "OPENAI" && + settings.openaiApiKey && + settings.openaiApiKey !== placeholder && + settings.openaiApiModel + ) { + renderingEngine = "OPENAI" + openaiApiKey = settings.openaiApiKey + openaiApiModel = settings.openaiApiModel + } if ( + settings.renderingModelVendor === "REPLICATE" && + settings.replicateApiKey && + settings.replicateApiKey !== placeholder && + settings.replicateApiModel && + settings.replicateApiModelVersion + ) { + renderingEngine = "REPLICATE" + replicateApiKey = settings.replicateApiKey + replicateApiModel = settings.replicateApiModel + replicateApiModelVersion = settings.replicateApiModelVersion + replicateApiModelTrigger = settings.replicateApiModelTrigger + } else if ( + settings.renderingModelVendor === "HUGGINGFACE" && + settings.huggingfaceApiKey && + settings.huggingfaceApiKey !== placeholder && + settings.huggingfaceInferenceApiModel + ) { + // console.log("using Hugging Face using user credentials (hidden)") + renderingEngine = "INFERENCE_API" + huggingfaceApiKey = settings.huggingfaceApiKey + huggingfaceInferenceApiModel = settings.huggingfaceInferenceApiModel + huggingfaceInferenceApiModelTrigger = settings.huggingfaceInferenceApiModelTrigger + } + + let defaulResult: RenderedScene = { + renderId: "", + status: "pending", + assetUrl: "", + alt: "", + maskUrl: "", + error: "failed to fetch the data", + segments: [] + } + + try { + if (renderingEngine === "REPLICATE") { + if (!replicateApiKey) { + throw new Error(`invalid replicateApiKey, you need to configure your AUTH_REPLICATE_API_TOKEN in order to use the REPLICATE rendering engine`) + } + + const res = await fetch(`https://api.replicate.com/v1/predictions/${renderId}`, { + method: "GET", + headers: { + Authorization: `Token ${replicateApiKey}`, + }, + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + // Recommendation: handle errors + if (res.status !== 200) { + // This will activate the closest `error.js` Error Boundary + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as any + + return { + renderId, + status: response?.error ? "error" : response?.status === "succeeded" ? "completed" : "pending", + assetUrl: `${response?.output || ""}`, + alt: `${response?.input?.prompt || ""}`, + error: `${response?.error || ""}`, + maskUrl: "", + segments: [] + } as RenderedScene + } else { + const res = await fetch(`${videochainApiUrl}/render/${renderId}`, { + method: "GET", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${videochainToken}`, + }, + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as RenderedScene + return response + } + } catch (err) { + console.error(err) + defaulResult.status = "error" + defaulResult.error = `${err}` + return defaulResult + } +} + +export async function upscaleImage(image: string): Promise<{ + assetUrl: string + error: string +}> { + if (!image) { + const error = `cannot call the rendering API without an image, aborting..` + console.error(error) + throw new Error(error) + } + + let defaulResult = { + assetUrl: "", + error: "failed to fetch the data", + } + + try { + const res = await fetch(`${videochainApiUrl}/upscale`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${videochainToken}`, + }, + cache: 'no-store', + body: JSON.stringify({ image, factor: 3 }) + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as { + assetUrl: string + error: string + } + return response + } catch (err) { + console.error(err) + return defaulResult + } +} diff --git a/ai-comic-factory/src/app/favicon.ico b/ai-comic-factory/src/app/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..060fa8ce26f545dd54e28b76401e5bc7a55b7c92 Binary files /dev/null and b/ai-comic-factory/src/app/favicon.ico differ diff --git a/ai-comic-factory/src/app/globals.css b/ai-comic-factory/src/app/globals.css new file mode 100644 index 0000000000000000000000000000000000000000..17ed3e6189002e7f5f4b946a74359d5eab5f65d5 --- /dev/null +++ b/ai-comic-factory/src/app/globals.css @@ -0,0 +1,40 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +:root { + --foreground-rgb: 0, 0, 0; + --background-start-rgb: 214, 219, 220; + --background-end-rgb: 255, 255, 255; +} + +@media (prefers-color-scheme: dark) { + :root { + --foreground-rgb: 255, 255, 255; + --background-start-rgb: 0, 0, 0; + --background-end-rgb: 0, 0, 0; + } +} + +body { + color: rgb(var(--foreground-rgb)); + background: linear-gradient( + to bottom, + transparent, + rgb(var(--background-end-rgb)) + ) + rgb(var(--background-start-rgb)); +} + +/* this is the trick to bypass the style={{}} attribute when printing */ +@media print { + .comic-page, .comic-page[style] { + width: 100vw !important; + page-break-before: always; + } +} + +.render-to-image .comic-panel { + height: auto !important; + /* max-width: fit-content !important; */ +} diff --git a/ai-comic-factory/src/app/icon.png b/ai-comic-factory/src/app/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..ecc6cbefdfc1232e92b40cc616cc34388b0360da Binary files /dev/null and b/ai-comic-factory/src/app/icon.png differ diff --git a/ai-comic-factory/src/app/interface/about/index.tsx b/ai-comic-factory/src/app/interface/about/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..4f1417c7cc838afc7e0038fdbe5e793756a8207f --- /dev/null +++ b/ai-comic-factory/src/app/interface/about/index.tsx @@ -0,0 +1,69 @@ +import { ReactNode, useState } from "react" + +import { Button } from "@/components/ui/button" +import { Dialog, DialogContent, DialogDescription, DialogFooter, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog" + +import { Login } from "../login" + +const APP_NAME = `AI Comic Factory` +const APP_DOMAIN = `aicomicfactory.app` +const APP_URL = `https://aicomicfactory.app` +const APP_VERSION = `1.6` +const APP_RELEASE_DATE = `August 2024` + +const ExternalLink = ({ url, children }: { url: string; children: ReactNode }) => { + return ( + {children} + ) +} + +export function About() { + const [isOpen, setOpen] = useState(false) + + return ( + + + + + + + + {APP_DOMAIN} {APP_VERSION} ({APP_RELEASE_DATE}) + + +
+

+ {APP_DOMAIN} generates stories using AI in a few clicks. +

+

+ App is free for Hugging Face users 👉 +

+

+ Join us on Discord 👉 The Latent Space +

+

+ Are you an artist? Learn how to use your own art style +

+

+ 👉 Default AI model used for stories is Zephyr-7b-beta +

+

+ 👉 Default AI model used for drawing is SDXL by Stability AI +

+

+ This is an open-source project, see the README for more info. +

+
+ + + + + + ) +} \ No newline at end of file diff --git a/ai-comic-factory/src/app/interface/advert/index.tsx b/ai-comic-factory/src/app/interface/advert/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..5d88fece986ea30ec953f9d75e245dde960c2ae0 --- /dev/null +++ b/ai-comic-factory/src/app/interface/advert/index.tsx @@ -0,0 +1,15 @@ +import { Button } from "@/components/ui/button" + +export function Advert() { + return ( + + ) +} \ No newline at end of file diff --git a/ai-comic-factory/src/app/interface/auth-wall/index.tsx b/ai-comic-factory/src/app/interface/auth-wall/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..2c02b299e389e19ba03e88b995eb9faa2d8f224e --- /dev/null +++ b/ai-comic-factory/src/app/interface/auth-wall/index.tsx @@ -0,0 +1,34 @@ + +import { Dialog, DialogContent, DialogFooter, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog" + +import { Login } from "../login" +import { SettingsDialog } from "../settings-dialog" + +export function AuthWall({ show }: { show: boolean }) { + return ( + + +
+

+ The AI Comic Factory is a free app compatible with many vendors. +

+

+ By default it uses Hugging Face for story and image generation,
+ our service is free of charge but we would like you to sign-in 👇 +

+

+ +

+ {/*

(if login doesn't work for you, please use the button in the About panel)

*/} +

+ To hide this message, you can also go in the to replace
+ both the image and the story providers to use external vendors. +

+

+ This pop-up will also disappear if you download the code to run the app at home. +

+
+ + + ) +} \ No newline at end of file diff --git a/ai-comic-factory/src/app/interface/bottom-bar/bottom-bar.tsx b/ai-comic-factory/src/app/interface/bottom-bar/bottom-bar.tsx new file mode 100644 index 0000000000000000000000000000000000000000..13517ec24a75bbcf2efbd5344107597fb503f79a --- /dev/null +++ b/ai-comic-factory/src/app/interface/bottom-bar/bottom-bar.tsx @@ -0,0 +1,208 @@ +import { startTransition, useEffect, useState } from "react" +import { useFilePicker } from 'use-file-picker' + +import { useStore } from "@/app/store" +import { Button } from "@/components/ui/button" +import { cn } from "@/lib/utils" +import { upscaleImage } from "@/app/engine/render" +import { sleep } from "@/lib/sleep" + +import { Share } from "../share" +import { About } from "../about" +import { Discord } from "../discord" +import { SettingsDialog } from "../settings-dialog" +import { useLocalStorage } from "usehooks-ts" +import { localStorageKeys } from "../settings-dialog/localStorageKeys" +import { defaultSettings } from "../settings-dialog/defaultSettings" +import { getParam } from "@/lib/getParam" +import { Advert } from "../advert" + + +function BottomBar() { + // deprecated, as HTML-to-bitmap didn't work that well for us + // const page = useStore(s => s.page) + // const download = useStore(s => s.download) + // const pageToImage = useStore(s => s.pageToImage) + + const isGeneratingStory = useStore(s => s.isGeneratingStory) + const prompt = useStore(s => s.prompt) + const panelGenerationStatus = useStore(s => s.panelGenerationStatus) + + const preset = useStore(s => s.preset) + + const canSeeBetaFeatures = false // getParam("beta", false) + + const allStatus = Object.values(panelGenerationStatus) + const remainingImages = allStatus.reduce((acc, s) => (acc + (s ? 1 : 0)), 0) + + const currentClap = useStore(s => s.currentClap) + + const upscaleQueue = useStore(s => s.upscaleQueue) + const renderedScenes = useStore(s => s.renderedScenes) + const removeFromUpscaleQueue = useStore(s => s.removeFromUpscaleQueue) + const setRendered = useStore(s => s.setRendered) + const [isUpscaling, setUpscaling] = useState(false) + + const loadClap = useStore(s => s.loadClap) + const downloadClap = useStore(s => s.downloadClap) + + const [hasGeneratedAtLeastOnce, setHasGeneratedAtLeastOnce] = useLocalStorage( + localStorageKeys.hasGeneratedAtLeastOnce, + defaultSettings.hasGeneratedAtLeastOnce + ) + + const handleUpscale = () => { + setUpscaling(true) + startTransition(() => { + const fn = async () => { + for (let [panelId, renderedScene] of Object.entries(upscaleQueue)) { + try { + console.log(`upscaling panel ${panelId} (${renderedScene.renderId})`) + const result = await upscaleImage(renderedScene.assetUrl) + await sleep(1000) + if (result.assetUrl) { + console.log(`upscale successful, removing ${panelId} (${renderedScene.renderId}) from upscale queue`) + setRendered(panelId, { + ...renderedScene, + assetUrl: result.assetUrl + }) + removeFromUpscaleQueue(panelId) + } + + } catch (err) { + console.error(`failed to upscale: ${err}`) + } + } + + setUpscaling(false) + } + + fn() + }) + } + + const handlePrint = () => { + window.print() + } + const hasFinishedGeneratingImages = allStatus.length > 0 && (allStatus.length - remainingImages) === allStatus.length + + // keep track of the first generation, independently of the login status + useEffect(() => { + if (hasFinishedGeneratingImages && !hasGeneratedAtLeastOnce) { + setHasGeneratedAtLeastOnce(true) + } + }, [hasFinishedGeneratingImages, hasGeneratedAtLeastOnce]) + + const { openFilePicker, filesContent } = useFilePicker({ + accept: '.clap', + readAs: "ArrayBuffer" + }) + const fileData = filesContent[0] + + useEffect(() => { + const fn = async () => { + if (fileData?.name) { + try { + const blob = new Blob([fileData.content]) + await loadClap(blob) + } catch (err) { + console.error("failed to load the Clap file:", err) + } + } + } + fn() + }, [fileData?.name]) + + + return ( +
+
+ + + +
+
+ + {/**/} + + {/* +
+ +
+
+ +
+ */} + {canSeeBetaFeatures ? : null} + {canSeeBetaFeatures ? : null} + + + + +
+
+ ) +} + +export default BottomBar \ No newline at end of file diff --git a/ai-comic-factory/src/app/interface/bottom-bar/index.tsx b/ai-comic-factory/src/app/interface/bottom-bar/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..5532ddcb4c446688db5c8ba06a880fa6be1e20ce --- /dev/null +++ b/ai-comic-factory/src/app/interface/bottom-bar/index.tsx @@ -0,0 +1,8 @@ +"use client" + +import dynamic from "next/dynamic"; + +export const BottomBar = dynamic(() => import("./bottom-bar"), { + // Make sure we turn SSR off + ssr: false, +}); diff --git a/ai-comic-factory/src/app/interface/discord/index.tsx b/ai-comic-factory/src/app/interface/discord/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..09c4e363d7860996a42a633e67cc72a1e29630ba --- /dev/null +++ b/ai-comic-factory/src/app/interface/discord/index.tsx @@ -0,0 +1,20 @@ +import { FaDiscord } from "react-icons/fa" + + +export function Discord() { + return ( + +
+ Discord + + + ) +} \ No newline at end of file diff --git a/ai-comic-factory/src/app/interface/display/index.tsx b/ai-comic-factory/src/app/interface/display/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..26ba8d02a6afd446981aeca6c1c24b267ab467f1 --- /dev/null +++ b/ai-comic-factory/src/app/interface/display/index.tsx @@ -0,0 +1,12 @@ +import { RenderedScene } from "@/types" + +export function Display ({ rendered }: { rendered: RenderedScene }) { + return ( + <> + + + ) +} \ No newline at end of file diff --git a/ai-comic-factory/src/app/interface/edit-modal/index.tsx b/ai-comic-factory/src/app/interface/edit-modal/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..a3e324702b329157dffd42f009892960c766f88c --- /dev/null +++ b/ai-comic-factory/src/app/interface/edit-modal/index.tsx @@ -0,0 +1,84 @@ +import { ReactNode, useState } from "react" + +import { Button } from "@/components/ui/button" +import { Dialog, DialogContent, DialogDescription, DialogFooter, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog" + +import { Textarea } from "@/components/ui/textarea" + +export function EditModal({ + existingPrompt, + isEnabled, + className, + children, + onSave, + }: { + existingPrompt: string; + isEnabled: boolean; + className?: string; + children?: ReactNode; + onSave: (newPrompt: string) => void; + }) { + const [draftPrompt, setDraftPrompt] = useState(existingPrompt) + const [isOpen, setOpen] = useState(false) + + const handleSubmit = () => { + if (draftPrompt) { + onSave(draftPrompt) + setOpen(false) + } + } + + return ( + { + if (!open || isEnabled) { + setOpen(open) + if (!open) { + setDraftPrompt(existingPrompt) + } + } + }}> + + {children} + + + + + Edit Prompt + + +
+