Diffusers
Safetensors
StableDiffusionUpscalePipeline
stable-diffusion
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Examples section comment in source code.

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  1. README.md +2 -2
README.md CHANGED
@@ -56,7 +56,7 @@ model_id = "stabilityai/stable-diffusion-x4-upscaler"
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  pipeline = StableDiffusionUpscalePipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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  pipeline = pipeline.to("cuda")
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- # let's download an image
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  url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-upscale/low_res_cat.png"
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  response = requests.get(url)
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  low_res_img = Image.open(BytesIO(response.content)).convert("RGB")
@@ -168,7 +168,7 @@ Evaluations with different classifier-free guidance scales (1.5, 2.0, 3.0, 4.0,
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  ![pareto](model-variants.jpg)
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- Evaluated using 50 DDIM steps and 10000 random prompts from the COCO2017 validation set, evaluated at 512x512 resolution. Not optimized for FID scores.
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  ## Environmental Impact
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  pipeline = StableDiffusionUpscalePipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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  pipeline = pipeline.to("cuda")
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+ # let's download an image
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  url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-upscale/low_res_cat.png"
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  response = requests.get(url)
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  low_res_img = Image.open(BytesIO(response.content)).convert("RGB")
 
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  ![pareto](model-variants.jpg)
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+ Evaluated using 50 DDIM steps and 10000 random prompts from the COCO2017 validation set, evaluated at 512x512 resolution. Not optimized for FID scores.
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  ## Environmental Impact
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