Transformers
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controlnet
Inference Endpoints
Gerold Meisinger commited on
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@@ -10,36 +10,33 @@ Based on my GitHub monologs at [Edge Drawing - a Canny alternative](https://gith
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  Controls image generation by edge maps generated with [EdgeDrawing Parameter-Free](https://github.com/CihanTopal/ED_Lib).
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- For usage see the model page on [Civitai.com]().
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- # Image dataset
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-
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- * [laion2B-en aesthetics>=6.5 dataset](https://huggingface.co/datasets/ChristophSchuhmann/improved_aesthetics_6.5plus)
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- * `--min_image_size 512 --max_aspect_ratio 2 --resize_mode="center_crop" --image_size 512`
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- * resulting in 180k images
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-
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- Original
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c0ec65a2ec8cb2f589233a/RgXLEFqwSOzYQXvrs6pOr.png)
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- EdgeDrawing Parameter-Free
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-
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c0ec65a2ec8cb2f589233a/jmdCGeMJx4dKFGo44cuEq.png)
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- Canndy Edge Detection (default in Automatic1111)
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-
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c0ec65a2ec8cb2f589233a/JZTpa-HZfw0NUYnxZ52Iu.png)
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- Example
 
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  sampler=UniPC steps=20 cfg=7.5 seed=0 batch=9 model: v1-5-pruned-emaonly.safetensors cherry-picked: 1/9
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  prompt: _a detailed high-quality professional photo of swedish woman standing in front of a mirror, dark brown hair, white hat with purple feather_
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-
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c0ec65a2ec8cb2f589233a/2PSWsmzLdHeVG-i67S7jF.png)
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  # Training
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  ```
@@ -106,3 +103,8 @@ Update: bug in algorithm produces too sparse images on default, see https://gith
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  additional arguments: `--proportion_empty_prompts=0.5`
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  Trained for 40000 steps with default settings
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  => empty prompts were probably too excessive
 
 
 
 
 
 
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  Controls image generation by edge maps generated with [EdgeDrawing Parameter-Free](https://github.com/CihanTopal/ED_Lib).
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+ For usage see the model page on [Civitai.com](https://civitai.com/models/149740).
 
 
 
 
 
 
 
 
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+ **Original**
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c0ec65a2ec8cb2f589233a/RgXLEFqwSOzYQXvrs6pOr.png)
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+ **EdgeDrawing Parameter-Free**
 
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c0ec65a2ec8cb2f589233a/jmdCGeMJx4dKFGo44cuEq.png)
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+ **Canndy Edge Detection (default in Automatic1111)**
 
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c0ec65a2ec8cb2f589233a/JZTpa-HZfw0NUYnxZ52Iu.png)
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+ **Example**
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+
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  sampler=UniPC steps=20 cfg=7.5 seed=0 batch=9 model: v1-5-pruned-emaonly.safetensors cherry-picked: 1/9
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  prompt: _a detailed high-quality professional photo of swedish woman standing in front of a mirror, dark brown hair, white hat with purple feather_
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c0ec65a2ec8cb2f589233a/2PSWsmzLdHeVG-i67S7jF.png)
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+ # Image dataset
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+ * [laion2B-en aesthetics>=6.5 dataset](https://huggingface.co/datasets/ChristophSchuhmann/improved_aesthetics_6.5plus)
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+ * `--min_image_size 512 --max_aspect_ratio 2 --resize_mode="center_crop" --image_size 512`
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+ * resulting in 180k images
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+
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  # Training
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  ```
 
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  additional arguments: `--proportion_empty_prompts=0.5`
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  Trained for 40000 steps with default settings
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  => empty prompts were probably too excessive
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+
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+ # Question and answers
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+ **Q: What's the point of another edge control net anyway?**
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+ A: 🤷