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Stable Diffusion Dreambooth Concepts Library
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RPritam
published
a
model
7 days ago
RPritam
updated
a
model
7 days ago
ehristoforu
posted
an
update
about 2 months ago
Post
3202
✒️ Ultraset - all-in-one dataset for SFT training in Alpaca format.
fluently-sets/ultraset
❓ Ultraset is a comprehensive dataset for training Large Language Models (LLMs) using the SFT (instruction-based Fine-Tuning) method. This dataset consists of over 785 thousand entries in eight languages, including English, Russian, French, Italian, Spanish, German, Chinese, and Korean.
🤯 Ultraset solves the problem faced by users when selecting an appropriate dataset for LLM training. It combines various types of data required to enhance the model's skills in areas such as text writing and editing, mathematics, coding, biology, medicine, finance, and multilingualism.
🤗 For effective use of the dataset, it is recommended to utilize only the "instruction," "input," and "output" columns and train the model for 1-3 epochs. The dataset does not include DPO or Instruct data, making it suitable for training various types of LLM models.
❇️ Ultraset is an excellent tool to improve your language model's skills in diverse knowledge areas.
fluently-sets/ultraset
❓ Ultraset is a comprehensive dataset for training Large Language Models (LLMs) using the SFT (instruction-based Fine-Tuning) method. This dataset consists of over 785 thousand entries in eight languages, including English, Russian, French, Italian, Spanish, German, Chinese, and Korean.
🤯 Ultraset solves the problem faced by users when selecting an appropriate dataset for LLM training. It combines various types of data required to enhance the model's skills in areas such as text writing and editing, mathematics, coding, biology, medicine, finance, and multilingualism.
🤗 For effective use of the dataset, it is recommended to utilize only the "instruction," "input," and "output" columns and train the model for 1-3 epochs. The dataset does not include DPO or Instruct data, making it suitable for training various types of LLM models.
❇️ Ultraset is an excellent tool to improve your language model's skills in diverse knowledge areas.
Post
3845
📸Photo LoRA Drop📸
I've been working on this one for a few days, but really I've had this dataset for a few years! I collected a bunch of open access photos online back in late 2022, but I was never happy enough with how they played with the base model!
I am so thrilled that they look so nice with Flux!
This for me is a version one of this model - I still see room for improvement and possibly expansion of it's 40 image dataset. For those who are curious:
40 Image
3200 Steps
Dim 32
3e-4
Enjoy! Create! Big thank you to Glif for sponsoring the model creation! :D
alvdansen/flux_film_foto
I've been working on this one for a few days, but really I've had this dataset for a few years! I collected a bunch of open access photos online back in late 2022, but I was never happy enough with how they played with the base model!
I am so thrilled that they look so nice with Flux!
This for me is a version one of this model - I still see room for improvement and possibly expansion of it's 40 image dataset. For those who are curious:
40 Image
3200 Steps
Dim 32
3e-4
Enjoy! Create! Big thank you to Glif for sponsoring the model creation! :D
alvdansen/flux_film_foto
Post
7247
Alright Ya'll
I know it's a Saturday, but I decided to release my first Flux Dev Lora.
A retrain of my "Frosting Lane" model and I am sure the styles will just keep improving.
Have fun! Link Below - Thanks again to @ostris for the trainer and Black Forest Labs for the awesome model!
alvdansen/frosting_lane_flux
I know it's a Saturday, but I decided to release my first Flux Dev Lora.
A retrain of my "Frosting Lane" model and I am sure the styles will just keep improving.
Have fun! Link Below - Thanks again to @ostris for the trainer and Black Forest Labs for the awesome model!
alvdansen/frosting_lane_flux
ehristoforu
posted
an
update
7 months ago
Post
4345
😏 Hello from Project Fluently Team!
✨ Finally we can give you some details about Supple Diffusion. We worked on it for a long time and we have little left, we apologize that we had to increase the work time.
🛠️ Some technical information. The first version will be the Small version (there will also be Medium, Large, Huge, possibly Tiny), it will be based on the SD1 architecture, that is, one text encoder, U-net, VAE. Now about each component, the first is a text encoder, it will be a CLIP model (perhaps not CLIP-L-path14), CLIP was specially retrained by us in order to achieve the universality of the model in understanding completely different styles and to simplify the prompt as much as possible. Next, we did U-net, U-net in a rather complicated way, first we trained different parts (types) of data with different U-nets, then we carried out merging using different methods, then we trained DPO and SPO using methods, and then we looked at the remaining shortcomings and further trained model, details will come later. We left VAE the same as in SD1 architecture.
🙌 Compatibility. Another goal of the Supple model series is full compatibility with Auto1111 and ComfyUI already at the release stage, the model is fully supported by these interfaces and the diffusers library and does not require adaptation, your usual Sampling methods are also compatible, such as DPM++ 2M Karras, DPM++ SDE and others.
🧐 Today, without demo images (there wasn’t much time), final work is underway on the model and we are already preparing to develop the Medium version, the release of the Small version will most likely be in mid-August or earlier.
😻 Feel free to ask your questions in the comments below the post, we will be happy to answer them, have a nice day!
✨ Finally we can give you some details about Supple Diffusion. We worked on it for a long time and we have little left, we apologize that we had to increase the work time.
🛠️ Some technical information. The first version will be the Small version (there will also be Medium, Large, Huge, possibly Tiny), it will be based on the SD1 architecture, that is, one text encoder, U-net, VAE. Now about each component, the first is a text encoder, it will be a CLIP model (perhaps not CLIP-L-path14), CLIP was specially retrained by us in order to achieve the universality of the model in understanding completely different styles and to simplify the prompt as much as possible. Next, we did U-net, U-net in a rather complicated way, first we trained different parts (types) of data with different U-nets, then we carried out merging using different methods, then we trained DPO and SPO using methods, and then we looked at the remaining shortcomings and further trained model, details will come later. We left VAE the same as in SD1 architecture.
🙌 Compatibility. Another goal of the Supple model series is full compatibility with Auto1111 and ComfyUI already at the release stage, the model is fully supported by these interfaces and the diffusers library and does not require adaptation, your usual Sampling methods are also compatible, such as DPM++ 2M Karras, DPM++ SDE and others.
🧐 Today, without demo images (there wasn’t much time), final work is underway on the model and we are already preparing to develop the Medium version, the release of the Small version will most likely be in mid-August or earlier.
😻 Feel free to ask your questions in the comments below the post, we will be happy to answer them, have a nice day!
- 1 reply
Post
4551
New model drop...🥁
FROSTING LANE REDUX
The v1 of this model was released during a big model push, so I think it got lost in the shuffle. I revisited it for a project and realized it wasn't inventive enough around certain concepts, so I decided to retrain.
alvdansen/frosting_lane_redux
I think the original model was really strong on it's own, but because it was trained on fewer images I found that it was producing a very lackluster range of facial expressions, so I wanted to improve that.
The hardest part of creating models like this, I find, is maintaining the detailed linework without without overfitting. It takes a really balanced dataset and I repeat the data 12 times during the process, stopping at the last 10-20 epochs.
It is very difficult to predict the exact amount of time needed, so for me it is crucial to do epoch stops. Every model has a different threshold for ideal success.
FROSTING LANE REDUX
The v1 of this model was released during a big model push, so I think it got lost in the shuffle. I revisited it for a project and realized it wasn't inventive enough around certain concepts, so I decided to retrain.
alvdansen/frosting_lane_redux
I think the original model was really strong on it's own, but because it was trained on fewer images I found that it was producing a very lackluster range of facial expressions, so I wanted to improve that.
The hardest part of creating models like this, I find, is maintaining the detailed linework without without overfitting. It takes a really balanced dataset and I repeat the data 12 times during the process, stopping at the last 10-20 epochs.
It is very difficult to predict the exact amount of time needed, so for me it is crucial to do epoch stops. Every model has a different threshold for ideal success.
Post
2990
I really like what the
@jasperAITeam
designed with Flash LoRA. It works really well for something that generates so quickly, and I'm excited to test it out with Animate Diff, because I recently was testing LCM on it's own for AD and the results were already promising.
I put together my own page of models using their code and LoRA. Enjoy!
alvdansen/flash-lora-araminta-k-styles
I put together my own page of models using their code and LoRA. Enjoy!
alvdansen/flash-lora-araminta-k-styles
Post
3136
**How I train a LoRA: m3lt style training overview**
I've just written an article that takes a step by step approach to outlining the method that I used to train the 'm3lt' lora, a blended style model.
I've used the LoRA Ease trainer by @multimodalart :D
https://huggingface.co/blog/alvdansen/training-lora-m3lt
multimodalart/lora-ease
I've just written an article that takes a step by step approach to outlining the method that I used to train the 'm3lt' lora, a blended style model.
I've used the LoRA Ease trainer by @multimodalart :D
https://huggingface.co/blog/alvdansen/training-lora-m3lt
multimodalart/lora-ease
- 5 replies
Post
5857
New LoRA Model!
I trained this model on a new spot I'm really excited to share (soon!)
This Monday I will be posting my first beginning to end blog showing the tool I've used, dataset, captioning techniques, and parameters to finetune this LoRA.
For now, check out the model in the link below.
alvdansen/m3lt
I trained this model on a new spot I'm really excited to share (soon!)
This Monday I will be posting my first beginning to end blog showing the tool I've used, dataset, captioning techniques, and parameters to finetune this LoRA.
For now, check out the model in the link below.
alvdansen/m3lt
-
- 5 replies
ehristoforu
posted
an
update
7 months ago
Post
6369
🤗 Hello from the Project Fluently team!
🥏 We are ready to announce a new series of Supple Diffusion models, these are new generation diffusion models (about 1-2 weeks left before release).
🦾 The new series aims to take diffusion models to the next level, with performance and versatility as the main goal.
🧐 How will our models be better than others? Firstly, we worked on the CLIP models, now they understand your requests better, it will become easier to process. Secondly, we trained the models with high quality, even better than all our previous ones. Thirdly, you won’t have to keep 20 models on your disk; only 4-6 will be enough.
🗺️ Roadmap:
1. Create Supple Diffusion Small
2. Creating Supple Diffusion Medium
3. Create Supple Diffusion Large
🎆 Our models are universal for realism, and for cartoons, and for anime, and for caricatures.
💖 The project really needs your support and your recommendations and reviews, please do not hesitate to write comments under this post, thank you!
🖼️ Below are demo images made with the pre-release version of Supple Diffusion Small.
🥏 We are ready to announce a new series of Supple Diffusion models, these are new generation diffusion models (about 1-2 weeks left before release).
🦾 The new series aims to take diffusion models to the next level, with performance and versatility as the main goal.
🧐 How will our models be better than others? Firstly, we worked on the CLIP models, now they understand your requests better, it will become easier to process. Secondly, we trained the models with high quality, even better than all our previous ones. Thirdly, you won’t have to keep 20 models on your disk; only 4-6 will be enough.
🗺️ Roadmap:
1. Create Supple Diffusion Small
2. Creating Supple Diffusion Medium
3. Create Supple Diffusion Large
🎆 Our models are universal for realism, and for cartoons, and for anime, and for caricatures.
💖 The project really needs your support and your recommendations and reviews, please do not hesitate to write comments under this post, thank you!
🖼️ Below are demo images made with the pre-release version of Supple Diffusion Small.
-
- 4 replies
Post
2581
Per popular request, I'm working on a beginning to end LoRA training workflow blog for a style.
It will focus on dataset curation through training on a pre-determined style to give a better insight on my process.
Curious what are some questions you might have that I can try to answer in it?
It will focus on dataset curation through training on a pre-determined style to give a better insight on my process.
Curious what are some questions you might have that I can try to answer in it?
Post
2458
A few new styles added as SDXL LoRA:
Midsommar Cartoon
A playful cartoon style featuring bold colors and a retro aesthetic. Personal favorite at the moment.
alvdansen/midsommarcartoon
---
Wood Block XL
I've started training public domain styles to create some interesting datasets. In this case I found a group of images taken from really beautiful and colorful Japanese Blockprints.
alvdansen/wood-block-xl
--
Dimension W
For this model I did actually end up working on an SD 1.5 model as well as an SDXL. I prefer the SDXL version, and I am still looking for parameters I am really happy with for SD 1.5. That said, both have their merits. I trained this with the short film I am working on in mind.
alvdansen/dimension-w
alvdansen/dimension-w-sd15
Midsommar Cartoon
A playful cartoon style featuring bold colors and a retro aesthetic. Personal favorite at the moment.
alvdansen/midsommarcartoon
---
Wood Block XL
I've started training public domain styles to create some interesting datasets. In this case I found a group of images taken from really beautiful and colorful Japanese Blockprints.
alvdansen/wood-block-xl
--
Dimension W
For this model I did actually end up working on an SD 1.5 model as well as an SDXL. I prefer the SDXL version, and I am still looking for parameters I am really happy with for SD 1.5. That said, both have their merits. I trained this with the short film I am working on in mind.
alvdansen/dimension-w
alvdansen/dimension-w-sd15
Post
979
Hey all!
Here I take a somewhat strong stance and am petitioning to revisit the default training parameters on the Diffusers LoRA page.
In my opinion and after observing and testing may training pipelines shared by startups and resources, I have found that many of them exhibit the same types of issues. Upon discussing with some of these founders and creators, the common theme has been working backwards from the Diffusers LoRA page.
In this article, I explain why the defaults in the Diffuser LoRA code produce some positive results, which can be initially misleading, and a suggestion on how that could be improved.
https://huggingface.co/blog/alvdansen/revisit-diffusers-default-params
Here I take a somewhat strong stance and am petitioning to revisit the default training parameters on the Diffusers LoRA page.
In my opinion and after observing and testing may training pipelines shared by startups and resources, I have found that many of them exhibit the same types of issues. Upon discussing with some of these founders and creators, the common theme has been working backwards from the Diffusers LoRA page.
In this article, I explain why the defaults in the Diffuser LoRA code produce some positive results, which can be initially misleading, and a suggestion on how that could be improved.
https://huggingface.co/blog/alvdansen/revisit-diffusers-default-params
-
- 4 replies
Post
3249
Hey All!
I've been asked a lot of share more on how I train LoRAs. The truth is I don't think my advice is very helpful without also including more contextual, theoretical commentary on how I **think** about training LoRAs for SDXL and other models.
I wrote a first article here about it - let me know what you think.
https://huggingface.co/blog/alvdansen/thoughts-on-lora-training-1
Edit: Also people kept asking where to start so I made a list of possible resources:
https://huggingface.co/blog/alvdansen/thoughts-on-lora-training-pt-2-training-services
I've been asked a lot of share more on how I train LoRAs. The truth is I don't think my advice is very helpful without also including more contextual, theoretical commentary on how I **think** about training LoRAs for SDXL and other models.
I wrote a first article here about it - let me know what you think.
https://huggingface.co/blog/alvdansen/thoughts-on-lora-training-1
Edit: Also people kept asking where to start so I made a list of possible resources:
https://huggingface.co/blog/alvdansen/thoughts-on-lora-training-pt-2-training-services
-
-
- 13 replies
Post
6880
I had a backlog of LoRA model weights for SDXL that I decided to prioritize this weekend and publish. I know many are using SD3 right now, however if you have the time to try them, I hope you enjoy them.
I intend to start writing more fully on the thought process behind my approach to curating and training style and subject finetuning, beginning this next week.
Thank you for reading this post! You can find the models on my page and I'll drop a few previews here.
I intend to start writing more fully on the thought process behind my approach to curating and training style and subject finetuning, beginning this next week.
Thank you for reading this post! You can find the models on my page and I'll drop a few previews here.
-
- 4 replies
ehristoforu
posted
an
update
8 months ago
Post
3866
🦾 Hello, I present Visionix Alpha - a new hyper-realistic model based on SDXL. The main difference from all existing realism models is the attention to detail, that is, I improved not only hyperrealism, but also the overall aesthetics, anatomy, the beauty of nature, and more, and the model also has the most different faces. This model is suitable not only for realistic photos, but also for generating 2.5d anime, realistic cartoons and more.
🤗 Model on HF: ehristoforu/Visionix-alpha
🥏 Model on CivitAI: https://civitai.com/models/505719
🪄 Playground (with base and inpaint model): ehristoforu/Visionix-Playground
✏️ Inpaint version on HF: ehristoforu/Visionix-alpha-inpainting
🖋️ Inpaint version on CivitAI: https://civitai.com/models/505719?modelVersionId=563519
🤗 Model on HF: ehristoforu/Visionix-alpha
🥏 Model on CivitAI: https://civitai.com/models/505719
🪄 Playground (with base and inpaint model): ehristoforu/Visionix-Playground
✏️ Inpaint version on HF: ehristoforu/Visionix-alpha-inpainting
🖋️ Inpaint version on CivitAI: https://civitai.com/models/505719?modelVersionId=563519
- 1 reply
ehristoforu
posted
an
update
8 months ago
Post
3102
🤗 Hello, I have great news! FluentlyXL Final is finally here, the final release of the FluentlyXL model series. We've improved the overall aesthetics, lighting, and more.
🦾 Model on HF: fluently/Fluently-XL-Final
🥏 Model on CivitAI: https://civitai.com/models/324891
🎆 Playground: fluently/Fluently-Playground
🦾 Model on HF: fluently/Fluently-XL-Final
🥏 Model on CivitAI: https://civitai.com/models/324891
🎆 Playground: fluently/Fluently-Playground
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- 4 replies
ehristoforu
posted
an
update
8 months ago
Post
1909
I decided to play around with FluentlyXL v4 😉
👉 Model: fluently/Fluently-XL-v4
✨ Playground: fluently/Fluently-Playground
👉 Model: fluently/Fluently-XL-v4
✨ Playground: fluently/Fluently-Playground
ehristoforu
posted
an
update
8 months ago
Post
1521
🙂 Hello! FluentlyXL is now on Venice.ai, you can try the model there right now.
👉 Venice.ai: https://venice.ai
✨️ FluentlyXL v4: fluently/Fluently-XL-v4
👉 Venice.ai: https://venice.ai
✨️ FluentlyXL v4: fluently/Fluently-XL-v4
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- 3 replies