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Update README.md

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  1. README.md +16 -10
README.md CHANGED
@@ -17,28 +17,34 @@ until the next Diffusers pypi release, please install Diffusers from source and
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  TODO: change when new version.
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  ## Control Mode
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- | Control Mode | Description |
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- |:------------:|:-----------:|
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- |0|canny|
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- |1|tile|
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- |2|depth|
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- |3|blur|
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- |4|pose|
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- |5|gray|
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- |6|lq|
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  ### canny
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  <img src="./images/image_demo_canny.jpg" width = "800" />
 
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  ### tile
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  <img src="./images/image_demo_tile.jpg" width = "800" />
 
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  ### depth
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  <img src="./images/image_demo_depth.jpg" width = "800" />
 
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  ### blur
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  <img src="./images/image_demo_blur.jpg" width = "800" />
 
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  ### pose
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  <img src="./images/image_demo_pose.jpg" width = "800" />
 
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  ### gray
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  <img src="./images/image_demo_gray.jpg" width = "800" />
 
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  ### low quality
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  <img src="./images/image_demo_lq.jpg" width = "800" />
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@@ -65,7 +71,7 @@ from diffusers.models.controlnet_flux import FluxControlNetModel
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  # load
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  base_model = 'black-forest-labs/FLUX.1-dev'
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- controlnet_model = 'InstantX/FLUX.1-dev-Controlnet-Union-alpha '
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  controlnet = FluxControlNetModel.from_pretrained(controlnet_model, torch_dtype=torch.bfloat16)
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  pipe = FluxControlNetPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16)
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  pipe.to("cuda")
 
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  TODO: change when new version.
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  ## Control Mode
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+ | Control Mode | Description | Current Model Validity |
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+ |:------------:|:-----------:|:-----------:|
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+ |0|canny|🟢high|
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+ |1|tile|🟢high|
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+ |2|depth|🟡medium|
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+ |3|blur|🟢high|
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+ |4|pose|🔴low|
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+ |5|gray|🔴low|
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+ |6|lq|🟢high|
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  ### canny
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  <img src="./images/image_demo_canny.jpg" width = "800" />
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+
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  ### tile
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  <img src="./images/image_demo_tile.jpg" width = "800" />
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+
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  ### depth
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  <img src="./images/image_demo_depth.jpg" width = "800" />
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+
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  ### blur
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  <img src="./images/image_demo_blur.jpg" width = "800" />
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+
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  ### pose
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  <img src="./images/image_demo_pose.jpg" width = "800" />
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+
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  ### gray
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  <img src="./images/image_demo_gray.jpg" width = "800" />
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+
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  ### low quality
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  <img src="./images/image_demo_lq.jpg" width = "800" />
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  # load
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  base_model = 'black-forest-labs/FLUX.1-dev'
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+ controlnet_model = 'InstantX/FLUX.1-dev-Controlnet-Union-alpha'
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  controlnet = FluxControlNetModel.from_pretrained(controlnet_model, torch_dtype=torch.bfloat16)
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  pipe = FluxControlNetPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16)
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  pipe.to("cuda")