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  # Aniimage-1
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  Aniimage-1 is the first latent diffusion model developed by 8BitStudio.
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- The model is a 256x256 anime image generation model trained from scratch using a UNet + VAE + CLIP architecture at around 400 million parameters.
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  Aniimage-1 has been trained on 830,001 anime images from [Danbooru](https://danbooru.donmai.us/). It is not based on any existing models, the UNet is trained from scratch.
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  ## Model Details
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  | **Resolution** | 256×256 |
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  | **Architecture** | Latent Diffusion (UNet + VAE + CLIP) |
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- | **Parameters** | ~400M |
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  | **Training Steps** | 88,000 |
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  | **Batch Size** | 64 |
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  | **Dataset** | ~830K curated anime images from Danbooru |
 
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  # Aniimage-1
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  Aniimage-1 is the first latent diffusion model developed by 8BitStudio.
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+ The model is a 256x256 anime image generation model trained from scratch using a UNet + VAE + CLIP architecture at 449.1 million parameters.
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  Aniimage-1 has been trained on 830,001 anime images from [Danbooru](https://danbooru.donmai.us/). It is not based on any existing models, the UNet is trained from scratch.
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  ## Model Details
 
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  |---|---|
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  | **Resolution** | 256×256 |
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  | **Architecture** | Latent Diffusion (UNet + VAE + CLIP) |
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+ | **Parameters** | 441.9M |
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  | **Training Steps** | 88,000 |
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  | **Batch Size** | 64 |
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  | **Dataset** | ~830K curated anime images from Danbooru |