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End of training
Browse files- README.md +2 -2
- checkpoint-10000/optimizer.bin +1 -1
- checkpoint-10000/pytorch_model.bin +1 -1
- checkpoint-10000/random_states_0.pkl +1 -1
- checkpoint-10000/scheduler.bin +1 -1
- checkpoint-20000/optimizer.bin +1 -1
- checkpoint-20000/pytorch_model.bin +1 -1
- checkpoint-20000/random_states_0.pkl +1 -1
- checkpoint-20000/scaler.pt +1 -1
- checkpoint-20000/scheduler.bin +1 -1
- checkpoint-30000/optimizer.bin +1 -1
- checkpoint-30000/pytorch_model.bin +1 -1
- checkpoint-30000/random_states_0.pkl +1 -1
- checkpoint-30000/scaler.pt +1 -1
- checkpoint-30000/scheduler.bin +1 -1
- checkpoint-40000/optimizer.bin +1 -1
- checkpoint-40000/pytorch_model.bin +1 -1
- checkpoint-40000/random_states_0.pkl +1 -1
- checkpoint-40000/scaler.pt +1 -1
- checkpoint-40000/scheduler.bin +1 -1
- checkpoint-50000/optimizer.bin +1 -1
- checkpoint-50000/pytorch_model.bin +1 -1
- checkpoint-50000/random_states_0.pkl +1 -1
- checkpoint-50000/scaler.pt +1 -1
- checkpoint-50000/scheduler.bin +1 -1
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- image_4.png +0 -0
- image_5.png +0 -0
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- image_8.png +0 -0
- image_9.png +0 -0
- pytorch_lora_weights.bin +1 -1
README.md
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---
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license: creativeml-openrail-m
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base_model:
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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---
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# LoRA text2image fine-tuning - vcolamatteo/pokemon-text_to_image_lora_1
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These are LoRA adaption weights for
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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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---
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# LoRA text2image fine-tuning - vcolamatteo/pokemon-text_to_image_lora_1
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. 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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