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stillerman
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trdne250

Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files
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End of training

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Files changed (31) hide show
  1. README.md +21 -0
  2. checkpoint-200/optimizer.bin +3 -0
  3. checkpoint-200/pytorch_model.bin +3 -0
  4. checkpoint-200/random_states_0.pkl +3 -0
  5. checkpoint-200/scaler.pt +3 -0
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  7. checkpoint-250/optimizer.bin +3 -0
  8. checkpoint-250/pytorch_model.bin +3 -0
  9. checkpoint-250/random_states_0.pkl +3 -0
  10. checkpoint-250/scaler.pt +3 -0
  11. checkpoint-250/scheduler.bin +3 -0
  12. image_0.png +0 -0
  13. image_1.png +0 -0
  14. image_2.png +0 -0
  15. image_3.png +0 -0
  16. logs/text2image-fine-tune/1691025644.1762052/events.out.tfevents.1691025644.203cda2c91f8.1124.1 +3 -0
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  20. logs/text2image-fine-tune/1691025896.0568154/events.out.tfevents.1691025896.203cda2c91f8.2861.1 +3 -0
  21. logs/text2image-fine-tune/1691025896.0595763/hparams.yml +49 -0
  22. logs/text2image-fine-tune/1691027076.9884899/events.out.tfevents.1691027076.203cda2c91f8.7754.1 +3 -0
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  26. logs/text2image-fine-tune/events.out.tfevents.1691025644.203cda2c91f8.1124.0 +3 -0
  27. logs/text2image-fine-tune/events.out.tfevents.1691025793.203cda2c91f8.2367.0 +3 -0
  28. logs/text2image-fine-tune/events.out.tfevents.1691025896.203cda2c91f8.2861.0 +3 -0
  29. logs/text2image-fine-tune/events.out.tfevents.1691027076.203cda2c91f8.7754.0 +3 -0
  30. logs/text2image-fine-tune/events.out.tfevents.1691027696.203cda2c91f8.10377.0 +3 -0
  31. pytorch_lora_weights.bin +3 -0
README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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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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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA text2image fine-tuning - stillerman/trdne250
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the stillerman/rugs-1.9k-downloaded dataset. You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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