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Upload README.md with huggingface_hub (#1)
Browse files- add images (fdd729a50e6f75bb7afed7aa3ae6f0bd508d4379)
- Upload README.md with huggingface_hub (c35dd8a3857555665e1a329a7f102bfa7e264c2e)
Co-authored-by: Patrick von Platen <[email protected]>
Co-authored-by: Arthur Zucker <[email protected]>
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- model_index.json +4 -5
README.md
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@@ -48,8 +48,7 @@ for more details on how to write your own denoising loop.
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For more information generally on how to use `diffusers` for inference, please have a look at the [official inference example](_) # <- TODO(PVP) add link
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## Samples
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4. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddpm-cifar10/image_3.png)
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For more information generally on how to use `diffusers` for inference, please have a look at the [official inference example](_) # <- TODO(PVP) add link
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## Samples
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1. ![sample_1](https://huggingface.co/google/ncsnpp-ffhq-1024/resolve/main/generated_image_0.png)
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2. ![sample_2](https://huggingface.co/google/ncsnpp-ffhq-1024/resolve/main/generated_image_1.png)
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3. ![sample_3](https://huggingface.co/google/ncsnpp-ffhq-1024/resolve/main/generated_image_2.png)
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4. ![sample_4](https://huggingface.co/google/ncsnpp-ffhq-1024/resolve/main/generated_image_3.png)
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model_index.json
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{
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"_class_name": "ScoreSdeVePipeline",
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"_diffusers_version": "0.0.4",
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"model": [
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"diffusers",
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"UNet2DModel"
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],
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"scheduler": [
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"diffusers",
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"ScoreSdeVeScheduler"
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]
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}
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{
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"_class_name": "ScoreSdeVePipeline",
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"scheduler": [
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"diffusers",
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"ScoreSdeVeScheduler"
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],
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"model": [
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"diffusers",
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"UNet2DModel"
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]
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}
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