Gerold Meisinger
commited on
Commit
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control-edgedrawing-cv480edpf-rect-fp16
Browse files- README.md +20 -5
- control-edgedrawing-cv480edpf-rect-fp16-checkpoint-1350000.safetensors +3 -0
- control-edgedrawing-cv480edpf-rect-fp16-checkpoint-45000.safetensors +3 -0
- control-edgedrawing-cv480edpf-rect-fp16-checkpoint-90000.safetensors +3 -0
- control-edgedrawing-cv480edpf-rect-fp16-checkpoint-all.zip +3 -0
README.md
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@@ -142,17 +142,19 @@ see experiment 3. cleaned original images following the [fastdup introduction](h
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321 too bright
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57 blurry
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68621 unique removed (that's 38%!)
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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
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**Experiment 6.0 - control-edgedrawing-cv480edpf-rect-fp16-checkpoint-
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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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*
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*
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```
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183410 images in total
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436 too bright
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31 blurry
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76288 unique removed (that's 42%!)
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```
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restarted from 0 and `--mixed-precision="fp16"`.
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# Ideas
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* make conceptual captions for laion
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* integrate edcolor
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* try to fine-tune from canny
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321 too bright
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57 blurry
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68621 unique removed (that's 38%!)
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------
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111589 unique images (x2 left-right flip)
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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 convert to fp16 afterwards.
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**Experiment 6.0 - 2023-10-02 - control-edgedrawing-cv480edpf-rect-fp16-checkpoint-45000|90000|135000**
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see experiment 5.0.
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* resized images with shortside to 512 which gives us rectangular images instead of 512x512 squares
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* included images with aspect ratio > 2
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* center-cropped images to 512x(n)*64 | n=8..16 , which keeps them SD compatible
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* sorted duplicates by `similarity` value from `laion2b-en-aesthetics65` to get the "best" `text` from all the duplicates according to laion
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```
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183410 images in total
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436 too bright
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31 blurry
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76288 unique removed (that's 42%!)
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------
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107122 unique images (x2 left-right flip)
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```
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1 epoch = 107122 * 2 / 4 = 53561 steps per epoch
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restarted from 0 and `--mixed-precision="fp16"`.
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TODO: Why did I end up with less images after I added more images? fastdup suddenly finds even more duplicates. Is fastdup default threshold=0.9 too aggressive?
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**Experiment 6.1 - control-edgedrawing-cv480edpf-rect-fp16-gas16-checkpoint-XXXXX**
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see experiment 6.0. `--gradient_accumulation_steps=16`.
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1 epoch = 107122 * 2 / 16 = 13390 steps per epoch
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# Ideas
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* experiment with higher gradient accumulation steps
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* make conceptual captions for laion
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* integrate edcolor
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* try to fine-tune from canny
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control-edgedrawing-cv480edpf-rect-fp16-checkpoint-1350000.safetensors
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control-edgedrawing-cv480edpf-rect-fp16-checkpoint-45000.safetensors
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control-edgedrawing-cv480edpf-rect-fp16-checkpoint-90000.safetensors
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control-edgedrawing-cv480edpf-rect-fp16-checkpoint-all.zip
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