mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
0381a853b5
- Loader is renamed `configure_invokeai.py`, but `preload_models.py` is retained (as a shell) for backward compatibility - At startup, if no runtime root directory exists and no `.invokeai` startup file is present, user will be prompted to select the runtime and outputs directories. - Also expanded the number of initial models offered to the user to include the most "liked" ones from HuggingFace, including the two trinart models, the PaperCut model, and the VoxelArt model. - Created a configuration file for initial models to be offered to the user, at configs/INITIAL_MODELS.yaml
81 lines
2.6 KiB
YAML
81 lines
2.6 KiB
YAML
stable-diffusion-1.5:
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description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)
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repo_id: runwayml/stable-diffusion-v1-5
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config: v1-inference.yaml
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file: v1-5-pruned-emaonly.ckpt
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recommended: true
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width: 512
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height: 512
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inpainting-1.5:
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description: RunwayML SD 1.5 model optimized for inpainting (4.27 GB)
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repo_id: runwayml/stable-diffusion-inpainting
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config: v1-inpainting-inference.yaml
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file: sd-v1-5-inpainting.ckpt
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recommended: True
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width: 512
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height: 512
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ft-mse-improved-autoencoder-840000:
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description: StabilityAI improved autoencoder fine-tuned for human faces (recommended; 335 MB)
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repo_id: stabilityai/sd-vae-ft-mse-original
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config: VAE/default
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file: vae-ft-mse-840000-ema-pruned.ckpt
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recommended: True
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width: 512
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height: 512
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stable-diffusion-1.4:
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description: The original Stable Diffusion version 1.4 weight file (4.27 GB)
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repo_id: CompVis/stable-diffusion-v-1-4-original
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config: v1-inference.yaml
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file: sd-v1-4.ckpt
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recommended: False
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width: 512
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height: 512
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waifu-diffusion-1.3:
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description: Stable Diffusion 1.4 fine tuned on anime-styled images (4.27)
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repo_id: hakurei/waifu-diffusion-v1-3
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config: v1-inference.yaml
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file: model-epoch09-float32.ckpt
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recommended: False
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width: 512
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height: 512
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trinart-2.0:
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description: An SD model finetuned with ~40,000 assorted high resolution manga/anime-style pictures (2.13 GB)
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repo_id: naclbit/trinart_stable_diffusion_v2
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config: v1-inference.yaml
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file: trinart2_step95000.ckpt
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recommended: False
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width: 512
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height: 512
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trinart_characters-1.0:
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description: An SD model finetuned with 19.2M anime/manga style images (2.13 GB)
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repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1
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config: v1-inference.yaml
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file: trinart_characters_it4_v1.ckpt
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recommended: False
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width: 512
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height: 512
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trinart_vae:
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description: Custom autoencoder for trinart_characters
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repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1
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config: VAE/trinart
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file: autoencoder_fix_kl-f8-trinart_characters.ckpt
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recommended: False
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width: 512
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height: 512
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papercut-1.0:
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description: SD 1.5 fine-tuned for papercut art (use "PaperCut" in your prompts) (2.13 GB)
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repo_id: Fictiverse/Stable_Diffusion_PaperCut_Model
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config: v1-inference.yaml
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file: PaperCut_v1.ckpt
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recommended: False
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width: 512
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height: 512
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voxel_art-1.0:
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description: Stable Diffusion trained on voxel art (use "VoxelArt" in your prompts) (4.27 GB)
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repo_id: Fictiverse/Stable_Diffusion_VoxelArt_Model
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config: v1-inference.yaml
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file: VoxelArt_v1.ckpt
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recommended: False
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width: 512
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height: 512
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