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README.md
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@@ -18,7 +18,7 @@ For more information, please visit our [website](https://bria.ai/).
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Join our [Discord community](https://discord.gg/Nxe9YW9zHS) for more information, tutorials, tools, and to connect with other users!
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"Two kids in jackets play near a tent in a forest with trees."
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### Get Access
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Interested in BRIA-3.0 ControlNet-Union? Purchase is required to license and access BRIA-3.0 ControlNet-Union, ensuring royalty management with our data partners and full liability coverage for commercial use.
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@@ -94,7 +94,7 @@ controlnet = BriaControlNetModel.from_pretrained(controlnet_model, torch_dtype=t
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pipe = BriaControlNetPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16, trust_remote_code=True)
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pipe.to("cuda")
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control_image_canny = load_image("https://huggingface.co/briaai/BRIA-3.0-ControlNet-Union/resolve/main/canny.jpg")
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controlnet_conditioning_scale = 1.0
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control_mode = 1
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@@ -149,11 +149,8 @@ controlnet = BriaMultiControlNetModel([controlnet])
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pipe = BriaControlNetPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16, trust_remote_code=True)
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pipe.to("cuda")
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control_image_colorgrid = Image.open("/home/ubuntu/spring/Infra/sd3/eval_results/control_images/colorgrid/38.jpg").convert("RGB")
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control_image_pose = Image.open("/home/ubuntu/spring/Infra/sd3/eval_results/control_images/pose/38.jpg").convert("RGB")
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control_image = [control_image_colorgrid, control_image_pose]
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controlnet_conditioning_scale = [0.5, 0.5]
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Join our [Discord community](https://discord.gg/Nxe9YW9zHS) for more information, tutorials, tools, and to connect with other users!
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"Two kids in jackets play near a tent in a forest with trees."
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### Get Access
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Interested in BRIA-3.0 ControlNet-Union? Purchase is required to license and access BRIA-3.0 ControlNet-Union, ensuring royalty management with our data partners and full liability coverage for commercial use.
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pipe = BriaControlNetPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16, trust_remote_code=True)
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pipe.to("cuda")
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control_image_canny = load_image("https://huggingface.co/briaai/BRIA-3.0-ControlNet-Union/resolve/main/images/canny.jpg")
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controlnet_conditioning_scale = 1.0
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control_mode = 1
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pipe = BriaControlNetPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16, trust_remote_code=True)
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pipe.to("cuda")
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control_image_colorgrid = load_image("https://huggingface.co/briaai/BRIA-3.0-ControlNet-Union/resolve/main/images/colorgrid.jpg")
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control_image_pose = load_image("https://huggingface.co/briaai/BRIA-3.0-ControlNet-Union/resolve/main/images/pose.jpg")
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control_image = [control_image_colorgrid, control_image_pose]
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controlnet_conditioning_scale = [0.5, 0.5]
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