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- README.md +21 -0
- checkpoint-100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1100/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1300/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1700/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1900/pytorch_lora_weights.safetensors +3 -0
- checkpoint-200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
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- checkpoint-2300/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2700/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2900/pytorch_lora_weights.safetensors +3 -0
- checkpoint-300/pytorch_lora_weights.safetensors +3 -0
- checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-700/pytorch_lora_weights.safetensors +3 -0
- checkpoint-800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-900/pytorch_lora_weights.safetensors +3 -0
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README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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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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# LoRA text2image fine-tuning - nightdude/kanji-lora-conv
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the nightdude/sakana-kanji 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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![img_2](./image_2.png)
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![img_3](./image_3.png)
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