End of training
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- README.md +37 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_model.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_model.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2500/optimizer.bin +3 -0
- checkpoint-2500/pytorch_model.bin +3 -0
- checkpoint-2500/random_states_0.pkl +3 -0
- checkpoint-2500/scheduler.bin +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/pytorch_model.bin +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_model.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- feature_extractor/preprocessor_config.json +28 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_10.png +0 -0
- image_11.png +0 -0
- image_12.png +0 -0
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- image_6.png +0 -0
- image_7.png +0 -0
- image_8.png +0 -0
- image_9.png +0 -0
- learned_embeds-steps-1000.bin +3 -0
- learned_embeds-steps-1500.bin +3 -0
- learned_embeds-steps-2000.bin +3 -0
- learned_embeds-steps-2500.bin +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: /shared/s1/lab06/wonyoung/diffusers/CXR_ti_nf
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- textual_inversion
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inference: true
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---
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# Textual inversion text2image fine-tuning - Stomper10/CXR_ti_card
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These are textual inversion adaption weights for /shared/s1/lab06/wonyoung/diffusers/CXR_ti_nf. You can find some example images in the following.
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feature_extractor/preprocessor_config.json
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{
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"crop_size": {
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"width": 224
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"do_center_crop": true,
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"image_mean": [
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"image_processor_type": "CLIPImageProcessor",
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"image_std": [
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"size": {
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