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https://github.com/invoke-ai/InvokeAI
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restore models.yaml to virgin state
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# model requires a model config file, a weights file,
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# model requires a model config file, a weights file,
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# and the width and height of the images it
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# and the width and height of the images it
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# was trained on.
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# was trained on.
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stable-diffusion-1.4:
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config: ./configs/stable-diffusion/v1-inference.yaml
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weights: ./models/ldm/stable-diffusion-v1/sd-v1-4.ckpt
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vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
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description: The original Stable Diffusion version 1.4 weight file (4.27 GB)
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width: 512
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height: 512
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stable-diffusion-1.5:
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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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description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)
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weights: ./models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
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weights: ./models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
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@ -20,24 +13,3 @@ stable-diffusion-1.5:
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height: 512
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height: 512
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vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
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vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
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default: 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 (4.27 GB)
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weights: ./models/ldm/stable-diffusion-v1/sd-v1-5-inpainting.ckpt
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config: ./configs/stable-diffusion/v1-inpainting-inference.yaml
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width: 512
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height: 512
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vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
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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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weights: ./models/ldm/stable-diffusion-v1/model-epoch09-float32.ckpt
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config: ./configs/stable-diffusion/v1-inference.yaml
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width: 512
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height: 512
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vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
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smirking-face-1.0:
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description: Stable Diffusion 1.4 fine tuned on human figures (4.27)
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weights: ./models/ldm/stable-diffusion-v1/SF_EB_1.0_ema_vae.ckpt
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config: ./configs/stable-diffusion/v1-inference.yaml
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width: 512
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height: 512
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vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
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