Gerold Meisinger
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README.md
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Controls image generation by edge maps generated with [Edge Drawing](https://github.com/CihanTopal/ED_Lib). Note that Edge Drawing comes in different flavors: original (_ed_), parameter free (_edpf_), color (_edcolor_).
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* Based on my monologs at [github.com - Edge Drawing](https://github.com/lllyasviel/ControlNet/discussions/318)
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* For usage see the model page on [civitai.com - Model](https://civitai.com/models/149740).
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* To generate edpf maps you can use [this space](https://huggingface.co/spaces/GeroldMeisinger/edpf) or [this script gitlab.com](https://gitlab.com/-/snippets/3601881).
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* For evaluation see the corresponding .zip
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* To run your own evaluations you can use [this script at gitlab.com](https://gitlab.com/-/snippets/3602096).
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**Edge Drawing Parameter Free**
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edge_map = ed.getEdgeImage(edges)
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```
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45000 steps => looks good.
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**Experiment 3.1 - 2023-09-24 - control-edgedrawing-cv480edpf-drop0-fp16-checkpoint-90000**
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**Experiment 6.1 - control-edgedrawing-cv480edpf-rect-fp16-batch32-checkpoint-6696**
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see experiment 6.0. restarted from 0 with `--train_batch_size=2 --gradient_accumulation_steps=16`.
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1 epoch = 107122 * 2 / 32 = 6696 steps per epoch
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**Experiment 6.2 - control-edgedrawing-cv480edpf-rect-fp16-batch32-drop50-checkpoint-6696**
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Controls image generation by edge maps generated with [Edge Drawing](https://github.com/CihanTopal/ED_Lib). Note that Edge Drawing comes in different flavors: original (_ed_), parameter free (_edpf_), color (_edcolor_).
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* Based on my monologs at [github.com - Edge Drawing](https://github.com/lllyasviel/ControlNet/discussions/318) with detailed report and evaluations.
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* For usage see the model page on [civitai.com - Model](https://civitai.com/models/149740).
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* To generate edpf maps you can use [this space](https://huggingface.co/spaces/GeroldMeisinger/edpf) or [this script at gitlab.com](https://gitlab.com/-/snippets/3601881).
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* For evaluation images see the corresponding .zip's at "files".
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* To run your own evaluations you can use [this script at gitlab.com](https://gitlab.com/-/snippets/3602096).
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**Edge Drawing Parameter Free**
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edge_map = ed.getEdgeImage(edges)
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```
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45000 steps => looks good. released as **version 0.1 on civitai**.
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resuming with left-right flipped images.
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**Experiment 3.1 - 2023-09-24 - control-edgedrawing-cv480edpf-drop0-fp16-checkpoint-90000**
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**Experiment 6.1 - control-edgedrawing-cv480edpf-rect-fp16-batch32-checkpoint-6696**
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see experiment 6.0. restarted from 0 with `--train_batch_size=2 --gradient_accumulation_steps=16`. 1 epoch = 107122 * 2 / 32 = 6696 steps per epoch => released as **version 0.2 on civitai**.
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**Experiment 6.2 - control-edgedrawing-cv480edpf-rect-fp16-batch32-drop50-checkpoint-6696**
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