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README.md
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license: openrail
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license: openrail
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Pixeljourney XL Model:
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Pixeljourney, isn't an all-encompassing model that excels at everything.
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It struggles somewhat with accurately following prompts and tends to be somewhat inflexible.
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However, it uniquely directs outputs into a stylistic direction inspired by various AI artists and the Midjourney style.
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Capabilities of Pixeljourney:
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Excels at: Semi-realistic motifs, portraits, aliens, creatures, cyborgs, artistic themes, weird fashion, fusions between humans & different creatures, creative motifs.
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Adequate at: Photorealism.
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Struggles with: Anime, low-resolution monochrome sketches.
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Technical Aspects:
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Sampler for Examples: I used dpmpp_3m_sde/karras and a (cfg) range of 5-7.
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How to Use Pixeljourney:
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Start with SDXL resolution Sampler at 30+ steps.
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Apply HiRes-Fix or NNLatentUpscale.
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Proceed with UpscaleSampler for 20 steps and Denoise around 0.04.
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Optionally, use SDXL Refiner for around 8 steps with Denoise at 0.2.
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Optionally, apply a Face Detailer for enhanced facial details (not needed for Portrait shots).
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Dataset Composition:
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The dataset includes 1500 images from the LinkedIn AI/CC Community, mainly created using Midjourney.
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Additionally, 500 high-resolution photos were added to enhance details like eyes and skin.
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Training Details:
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The model was trained with 38,000 steps and a batch size of 4 using a 48GB RTX 6000 Ada for approximately 25 hours.
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NSFW:
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Pixeljourney is an uncensored model, capable of creating NSFW content.
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However, it has not been specifically trained for such content and don't preform verry well at it.
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