mirror of
https://github.com/invoke-ai/InvokeAI
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714fff39ba
1. The invokeai-configure script has now been refactored. The work of selecting and downloading initial models at install time is now done by a script named invokeai-initial-models (module name is ldm.invoke.config.initial_model_select) The calling arguments for invokeai-configure have not changed, so nothing should break. After initializing the root directory, the script calls invokeai-initial-models to let the user select the starting models to install. 2. invokeai-initial-models puts up a console GUI with checkboxes to indicate which models to install. It respects the --default_only and --yes arguments so that CI will continue to work. 3. User can now edit the VAE assigned to diffusers models in the CLI. 4. Fixed a bug that caused a crash during model loading when the VAE is set to None, rather than being empty.
89 lines
3.3 KiB
YAML
89 lines
3.3 KiB
YAML
stable-diffusion-1.5:
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description: Stable Diffusion version 1.5 diffusers model (4.27 GB)
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repo_id: runwayml/stable-diffusion-v1-5
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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: True
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default: True
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inpainting-1.5:
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description: RunwayML SD 1.5 model optimized for inpainting, diffusers version (4.27 GB)
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repo_id: runwayml/stable-diffusion-inpainting
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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: True
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dreamlike-diffusion-1.0:
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description: An SD 1.5 model fine tuned on high quality art by dreamlike.art, diffusers version (2.13 BG)
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format: diffusers
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repo_id: dreamlike-art/dreamlike-diffusion-1.0
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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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dreamlike-photoreal-2.0:
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description: A photorealistic model trained on 768 pixel images based on SD 1.5 (2.13 GB)
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format: diffusers
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repo_id: dreamlike-art/dreamlike-photoreal-2.0
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recommended: False
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stable-diffusion-2.1-768:
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description: Stable Diffusion version 2.1 diffusers model, trained on 768 pixel 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 512 pixel 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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openjourney-4.0:
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description: An SD 1.5 model fine tuned on Midjourney images by PromptHero - include "mdjrny-v4 style" in your prompts (2.13 GB)
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format: diffusers
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repo_id: prompthero/openjourney
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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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nitro-diffusion-1.0:
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description: A SD 1.5 model trained on three artstyles - prompt with "archer style", "arcane style" and/or "modern disney style" (2.13 GB)
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repo_id: nitrosocke/Nitro-Diffusion
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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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trinart-2.0:
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description: An SD model finetuned with ~40,000 assorted high resolution manga/anime-style pictures, diffusers version (2.13 GB)
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repo_id: naclbit/trinart_stable_diffusion_v2
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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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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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width: 512
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height: 512
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recommended: False
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autoencoder-840000:
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description: StabilityAI improved autoencoder fine-tuned for human faces. Improves legacy .ckpt models (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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width: 512
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height: 512
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recommended: True
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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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width: 512
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height: 512
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recommended: False
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