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ldm-celebahq-256

Unconditional Image Generation
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PyTorch
LDMPipeline
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@@ -102,7 +102,7 @@ image_pil.save(f"generated_image_{seed}.png")
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  ## Samples
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- 1. ![sample_1](https://huggingface.co/CompVis/latent-diffusion-celeba-256/blob/main/generated_image_0.png)
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- 2. ![sample_1](https://huggingface.co/CompVis/latent-diffusion-celeba-256/blob/main/generated_image_1.png)
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- 3. ![sample_1](https://huggingface.co/CompVis/latent-diffusion-celeba-256/blob/main/generated_image_2.png)
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- 4. ![sample_1](https://huggingface.co/CompVis/latent-diffusion-celeba-256/blob/main/generated_image_3.png)
 
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  ## Samples
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+ 1. ![sample_1](https://huggingface.co/CompVis/latent-diffusion-celeba-256/resolve/main/generated_image_0.png)
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+ 2. ![sample_1](https://huggingface.co/CompVis/latent-diffusion-celeba-256/resolve/main/generated_image_1.png)
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+ 3. ![sample_1](https://huggingface.co/CompVis/latent-diffusion-celeba-256/resolve/main/generated_image_2.png)
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+ 4. ![sample_1](https://huggingface.co/CompVis/latent-diffusion-celeba-256/resolve/main/generated_image_3.png)