Update README.md (#3)
Browse files- Update README.md (a1e238edcf168e7795bfa1c3551bb978bdb274fa)
Co-authored-by: Ali Mobarekati <[email protected]>
README.md
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@@ -63,8 +63,11 @@ pipe = DiffusionPipeline.from_pretrained(
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torch_dtype=torch.float16
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)
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# Text prompt example
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material =
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prompt="Old rusty metal bars with peeling paint",
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guidance_scale=10.0,
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tileable=True,
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@@ -73,7 +76,7 @@ material = pipeline(
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).images[0]
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# Image prompt example
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material =
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prompt=load_image("path/to/input_image.jpg"),
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guidance_scale=10.0,
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tileable=True,
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@@ -82,11 +85,11 @@ material = pipeline(
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).images[0]
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# The output will include basecolor, normal, height, roughness, and metallic maps
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basecolor =
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normal =
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height =
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roughness =
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metallic =
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```
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### Consistency model
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# Replace scheduler with LCM scheduler
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pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
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-
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# Text prompt example
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material =
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prompt="Old rusty metal bars with peeling paint",
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guidance_scale=10.0,
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tileable=True,
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@@ -125,7 +129,7 @@ material = pipeline(
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).images[0]
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# Image prompt example
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material =
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prompt=load_image("path/to/input_image.jpg"),
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guidance_scale=10.0,
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tileable=True,
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@@ -134,11 +138,11 @@ material = pipeline(
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).images[0]
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# The output will include basecolor, normal, height, roughness, and metallic maps
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basecolor =
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normal =
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height =
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roughness =
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metallic =
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```
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## 🗂️ Training Data
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torch_dtype=torch.float16
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)
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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pipe = pipe.to(device)
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# Text prompt example
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material = pipe(
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prompt="Old rusty metal bars with peeling paint",
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guidance_scale=10.0,
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tileable=True,
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).images[0]
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# Image prompt example
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material = pipe(
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prompt=load_image("path/to/input_image.jpg"),
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guidance_scale=10.0,
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tileable=True,
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).images[0]
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# The output will include basecolor, normal, height, roughness, and metallic maps
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basecolor = material.basecolor
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normal = material.normal
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height = material.height
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roughness = material.roughness
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metallic = material.metallic
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```
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### Consistency model
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# Replace scheduler with LCM scheduler
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pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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pipe = pipe.to(device)
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# Text prompt example
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material = pipe(
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prompt="Old rusty metal bars with peeling paint",
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guidance_scale=10.0,
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tileable=True,
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).images[0]
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# Image prompt example
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material = pipe(
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prompt=load_image("path/to/input_image.jpg"),
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guidance_scale=10.0,
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tileable=True,
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).images[0]
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# The output will include basecolor, normal, height, roughness, and metallic maps
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basecolor = material.basecolor
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normal = material.normal
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height = material.height
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roughness = material.roughness
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metallic = material.metallic
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```
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## 🗂️ Training Data
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