Gerold Meisinger
commited on
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control-edgedrawing-cv480edpf-drop0-fp16-checkpoint-90000.safetensors
Browse files
README.md
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@@ -27,6 +27,7 @@ For usage see the model page on [Civitai.com](https://civitai.com/models/149740)
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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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# Versions
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**
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Conditioning images generated with [edpf.py](https://gitlab.com/-/snippets/3601881) using [opencv-contrib-python::ximgproc::EdgeDrawing](https://docs.opencv.org/4.8.0/d1/d1c/classcv_1_1ximgproc_1_1EdgeDrawing.html).
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edge_map = ed.getEdgeImage(edges)
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```
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45000 steps
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**
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Images converted with https://github.com/shaojunluo/EDLinePython
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Trained for 40000 steps with default settings
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=> conditioning images are too noisy
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**
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Same as
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Update: bug in algorithm produces too sparse images on default, see https://github.com/shaojunluo/EDLinePython/issues/4
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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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# Versions
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**Experiment 4 - control-edgedrawing-cv480edpf-drop0-fp16-checkpoint-90000**
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Conditioning images generated with [edpf.py](https://gitlab.com/-/snippets/3601881) using [opencv-contrib-python::ximgproc::EdgeDrawing](https://docs.opencv.org/4.8.0/d1/d1c/classcv_1_1ximgproc_1_1EdgeDrawing.html).
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edge_map = ed.getEdgeImage(edges)
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```
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90000 steps (45000 steps on original, 45000 steps with left-right flipped images)
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**Experiment 3 - control-edgedrawing-cv480edpf-drop0-fp16-checkpoint-45000**
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see experiment 4. 45000 steps. This is version 0.1 on civitai.
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**Experiment 2 - control-edgedrawing-default-noisy-drop0-fp16-checkpoint-40000**
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Images converted with https://github.com/shaojunluo/EDLinePython
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Trained for 40000 steps with default settings
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=> conditioning images are too noisy
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**Experiment 1 - control-edgedrawing-default-drop50-fp16-checkpoint-40000**
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Same as experiment 2.
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Update: bug in algorithm produces too sparse images on default, see https://github.com/shaojunluo/EDLinePython/issues/4
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control-edgedrawing-cv480edpf-drop0-fp16-checkpoint-90000.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:db33348a906ea79b17ba343cdb9fd02f990a175e34f2eb31c5daac7ec9cb840c
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size 722598616
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