mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
9997fde144
This allows reliable distribution of the initial 'configs' directory with the Python package, and enables the configuration script to be running from anywhere, as long as the virtual environment is available on the sys.path
122 lines
4.1 KiB
YAML
122 lines
4.1 KiB
YAML
stable-diffusion-2.1-768:
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description: Stable Diffusion version 2.1 diffusers model, trained on 768x768 images (5.21 GB)
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repo_id: stabilityai/stable-diffusion-2-1
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format: diffusers
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recommended: True
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stable-diffusion-2.1-base:
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description: Stable Diffusion version 2.1 diffusers base model, trained on 512x512 images (5.21 GB)
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repo_id: stabilityai/stable-diffusion-2-1-base
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format: diffusers
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recommended: False
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stable-diffusion-1.5:
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description: 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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format: diffusers
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recommended: True
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default: True
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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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-v1-4
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recommended: False
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format: diffusers
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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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 (ckpt version) (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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format: ckpt
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vae:
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repo_id: stabilityai/sd-vae-ft-mse-original
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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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waifu-diffusion-1.4:
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description: Latest waifu diffusion 1.4 (diffusers version)
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format: diffusers
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repo_id: hakurei/waifu-diffusion
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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recommended: True
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waifu-diffusion-1.3:
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description: Stable Diffusion 1.4 fine tuned on anime-styled images (ckpt version) (4.27 GB)
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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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format: ckpt
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vae:
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repo_id: stabilityai/sd-vae-ft-mse-original
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file: vae-ft-mse-840000-ema-pruned.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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format: diffusers
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recommended: False
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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trinart_characters-2_0:
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description: An SD model finetuned with 19.2M anime/manga style images (ckpt version) (4.27 GB)
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repo_id: naclbit/trinart_derrida_characters_v2_stable_diffusion
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config: v1-inference.yaml
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file: derrida_final.ckpt
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format: ckpt
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vae:
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repo_id: naclbit/trinart_derrida_characters_v2_stable_diffusion
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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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anything-4.0:
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description: High-quality, highly detailed anime style images with just a few prompts
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format: diffusers
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repo_id: andite/anything-v4.0
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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recommended: False
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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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format: diffusers
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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recommended: False
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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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format: ckpt
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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file: vae-ft-mse-840000-ema-pruned.ckpt
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recommended: False
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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. Use with legacy .ckpt models ONLY (335 MB)
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repo_id: stabilityai/sd-vae-ft-mse-original
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format: ckpt
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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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trinart_vae:
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description: Custom autoencoder for trinart_characters for legacy .ckpt models only (335 MB)
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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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format: ckpt
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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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