Transformers
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controlnet
Inference Endpoints
Gerold Meisinger commited on
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589d18e
1 Parent(s): d3bbaf6
README.md CHANGED
@@ -131,7 +131,7 @@ see experiment 3.0. restarted from 0 with `--proportion_empty_prompts=0.5` => re
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  resumed from 45000 steps with left-right flipped images until 90000 steps => results are still not good, 50% is probably also too much for 90k steps. guessmode still doesn't work and tends to produces humans. aborting.
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- ** Experiment 5.0 - 2023-09-28 - control-edgedrawing-cv480edpf-fastdup-fp16-checkpoint-45000 **
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  see experiment 3. cleaned original images following the [fastdup introduction](https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/cleaning-image-dataset.ipynb) resulting in:
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  ```
@@ -146,13 +146,13 @@ see experiment 3. cleaned original images following the [fastdup introduction](h
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  restarted from 0 with left-right flipped images and `--mixed-precision="no"` to create a master release and converted to fp16 afterwards.
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- ** Experiment 6.0 - control-edgedrawing-cv480edpf-rect-fp16-checkpoint-XXXXX **
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  see experiment 5.0.
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  * included images with aspect ratio > 2
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  * resized images with shortside to 512 which gives us rectangular images instead of 512x512 squares
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  * center-cropped images to 512x(n)*64 (to make them SD compatible) and max longside 1024
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- * sorted duplicates by `similarity` value from `laion2b-en-aesthetics65` to get the best `text` of all duplicates
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  ```
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  183410 images in total
 
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  resumed from 45000 steps with left-right flipped images until 90000 steps => results are still not good, 50% is probably also too much for 90k steps. guessmode still doesn't work and tends to produces humans. aborting.
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+ **Experiment 5.0 - 2023-09-28 - control-edgedrawing-cv480edpf-fastdup-fp16-checkpoint-45000**
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  see experiment 3. cleaned original images following the [fastdup introduction](https://nbviewer.org/github/visual-layer/fastdup/blob/main/examples/cleaning-image-dataset.ipynb) resulting in:
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  ```
 
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  restarted from 0 with left-right flipped images and `--mixed-precision="no"` to create a master release and converted to fp16 afterwards.
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+ **Experiment 6.0 - control-edgedrawing-cv480edpf-rect-fp16-checkpoint-XXXXX**
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  see experiment 5.0.
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  * included images with aspect ratio > 2
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  * resized images with shortside to 512 which gives us rectangular images instead of 512x512 squares
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  * center-cropped images to 512x(n)*64 (to make them SD compatible) and max longside 1024
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+ * sorted duplicates by `similarity` value from `laion2b-en-aesthetics65` to get the best `text` from all the duplicates
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  ```
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  183410 images in total
control-edgedrawing-cv480edpf-fastdup-fp16-checkpoint-45000.zip ADDED
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