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End of training

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  1. .gitattributes +3 -0
  2. README.md +27 -0
  3. checkpoint-100/optimizer.bin +3 -0
  4. checkpoint-100/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-100/random_states_0.pkl +3 -0
  6. checkpoint-100/scaler.pt +3 -0
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  8. checkpoint-1000/optimizer.bin +3 -0
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  43. checkpoint-10600/optimizer.bin +3 -0
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  48. checkpoint-10700/optimizer.bin +3 -0
  49. checkpoint-10700/pytorch_lora_weights.safetensors +3 -0
  50. checkpoint-10700/random_states_0.pkl +3 -0
.gitattributes CHANGED
@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ image_0.png filter=lfs diff=lfs merge=lfs -text
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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: segmind/SSD-1B
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+ dataset: rjaiswal/watches_all_brands
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-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 - rjaiswal/segmind-1B-watches-all-brands-model-lora
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+
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+ These are LoRA adaption weights for segmind/SSD-1B. The weights were fine-tuned on the rjaiswal/watches_all_brands 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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+
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+
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+ LoRA for the text encoder was enabled: False.
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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