End of training
Browse files- README.md +45 -0
- checkpoint-1250/optimizer.bin +3 -0
- checkpoint-1250/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1250/random_states_0.pkl +3 -0
- checkpoint-1250/scaler.pt +3 -0
- checkpoint-1250/scheduler.bin +3 -0
- checkpoint-2500/optimizer.bin +3 -0
- checkpoint-2500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2500/random_states_0.pkl +3 -0
- checkpoint-2500/scaler.pt +3 -0
- checkpoint-2500/scheduler.bin +3 -0
- checkpoint-3750/optimizer.bin +3 -0
- checkpoint-3750/pytorch_lora_weights.safetensors +3 -0
- checkpoint-3750/random_states_0.pkl +3 -0
- checkpoint-3750/scaler.pt +3 -0
- checkpoint-3750/scheduler.bin +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scaler.pt +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- checkpoint-6250/optimizer.bin +3 -0
- checkpoint-6250/pytorch_lora_weights.safetensors +3 -0
- checkpoint-6250/random_states_0.pkl +3 -0
- checkpoint-6250/scaler.pt +3 -0
- checkpoint-6250/scheduler.bin +3 -0
- image_0.png +0 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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library_name: diffusers
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license: creativeml-openrail-m
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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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- diffusers-training
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- lora
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inference: true
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# LoRA text2image fine-tuning - SedatAl/Crypto-Punk-LoRa
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the SedatAl/modified-cryptopunks dataset. You can find some example images in the following.
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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size 15134460
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checkpoint-1250/pytorch_lora_weights.safetensors
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image_0.png
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pytorch_lora_weights.safetensors
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