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sd-pokemon-model-lora-ssd

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stable-diffusion-xl
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lora
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End of training

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Files changed (15) hide show
  1. README.md +2 -2
  2. checkpoint-1000/optimizer.bin +2 -2
  3. checkpoint-1000/pytorch_lora_weights.safetensors +2 -2
  4. checkpoint-1000/random_states_0.pkl +1 -1
  5. checkpoint-1500/optimizer.bin +2 -2
  6. checkpoint-1500/pytorch_lora_weights.safetensors +2 -2
  7. checkpoint-1500/random_states_0.pkl +1 -1
  8. checkpoint-500/optimizer.bin +2 -2
  9. checkpoint-500/pytorch_lora_weights.safetensors +2 -2
  10. checkpoint-500/random_states_0.pkl +1 -1
  11. image_0.png +2 -2
  12. image_1.png +2 -2
  13. image_2.png +2 -2
  14. image_3.png +2 -2
  15. pytorch_lora_weights.safetensors +2 -2
README.md CHANGED
@@ -1,7 +1,7 @@
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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: lambdalabs/pokemon-blip-captions
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  tags:
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  - stable-diffusion-xl
@@ -14,7 +14,7 @@ inference: true
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  # LoRA text2image fine-tuning - rjaiswal/sd-pokemon-model-lora-ssd
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- These are LoRA adaption weights for segmind/SSD-1B. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
 
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  ---
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  license: creativeml-openrail-m
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+ base_model: segmind/Segmind-Vega
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  dataset: lambdalabs/pokemon-blip-captions
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  tags:
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  - stable-diffusion-xl
 
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  # LoRA text2image fine-tuning - rjaiswal/sd-pokemon-model-lora-ssd
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+ These are LoRA adaption weights for segmind/Segmind-Vega. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset. You can find some example images in the following.
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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
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