Update README.md (#1)
Browse files- Update README.md (f3d1fe8e8d4026dd33dd5e12a462dac867520851)
Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>
README.md
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@@ -29,7 +29,7 @@ from diffusers import KandinskyPipeline, KandinskyPriorPipeline
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import torch
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pipe_prior = KandinskyPriorPipeline.from_pretrained("
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pipe_prior.to("cuda")
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prompt = "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting"
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@@ -43,7 +43,7 @@ zero_image_emb = pipe_prior(
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negative_prompt, guidance_scale=1.0, num_inference_steps=25, generator=generator, negative_prompt=negative_prompt
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).images
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pipe = KandinskyPipeline.from_pretrained("
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pipe.to("cuda")
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@@ -81,11 +81,11 @@ original_image = Image.open(BytesIO(response.content)).convert("RGB")
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original_image = original_image.resize((768, 512))
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# create prior
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pipe_prior = KandinskyPriorPipeline.from_pretrained("
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pipe_prior.to("cuda")
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# create img2img pipeline
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pipe = KandinskyImg2ImgPipeline.from_pretrained("
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pipe.to("cuda")
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prompt = "A fantasy landscape, Cinematic lighting"
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@@ -126,7 +126,7 @@ import PIL
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import torch
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from torchvision import transforms
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pipe_prior = KandinskyPriorPipeline.from_pretrained("
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pipe_prior.to("cuda")
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img1 = load_image(
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@@ -141,7 +141,7 @@ images_texts = ["a cat", img1, img2]
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weights = [0.3, 0.3, 0.4]
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image_emb, zero_image_emb = pipe_prior.interpolate(images_texts, weights)
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pipe = KandinskyPipeline.from_pretrained("
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pipe.to("cuda")
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image = pipe(
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import torch
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pipe_prior = KandinskyPriorPipeline.from_pretrained("kandinsky-community/kandinsky-2-1-prior", torch_dtype=torch.float16)
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pipe_prior.to("cuda")
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prompt = "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting"
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negative_prompt, guidance_scale=1.0, num_inference_steps=25, generator=generator, negative_prompt=negative_prompt
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).images
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pipe = KandinskyPipeline.from_pretrained("kandinsky-community/kandinsky-2-1", torch_dtype=torch.float16)
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pipe.to("cuda")
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original_image = original_image.resize((768, 512))
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# create prior
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pipe_prior = KandinskyPriorPipeline.from_pretrained("kandinsky-community/kandinsky-2-1-prior", torch_dtype=torch.float16)
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pipe_prior.to("cuda")
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# create img2img pipeline
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pipe = KandinskyImg2ImgPipeline.from_pretrained("kandinsky-community/kandinsky-2-1", torch_dtype=torch.float16)
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pipe.to("cuda")
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prompt = "A fantasy landscape, Cinematic lighting"
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import torch
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from torchvision import transforms
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pipe_prior = KandinskyPriorPipeline.from_pretrained("kandinsky-community/kandinsky-2-1-prior", torch_dtype=torch.float16)
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pipe_prior.to("cuda")
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img1 = load_image(
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weights = [0.3, 0.3, 0.4]
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image_emb, zero_image_emb = pipe_prior.interpolate(images_texts, weights)
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pipe = KandinskyPipeline.from_pretrained("kandinsky-community/kandinsky-2-1", torch_dtype=torch.float16)
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pipe.to("cuda")
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image = pipe(
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