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End of training
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- .gitattributes +4 -0
- README.md +48 -0
- checkpoint-1/optimizer.bin +3 -0
- checkpoint-1/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1/random_states_0.pkl +3 -0
- checkpoint-1/scaler.pt +3 -0
- checkpoint-1/scheduler.bin +3 -0
- checkpoint-10/optimizer.bin +3 -0
- checkpoint-10/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10/random_states_0.pkl +3 -0
- checkpoint-10/scaler.pt +3 -0
- checkpoint-10/scheduler.bin +3 -0
- checkpoint-11/optimizer.bin +3 -0
- checkpoint-11/pytorch_lora_weights.safetensors +3 -0
- checkpoint-11/random_states_0.pkl +3 -0
- checkpoint-11/scaler.pt +3 -0
- checkpoint-11/scheduler.bin +3 -0
- checkpoint-12/optimizer.bin +3 -0
- checkpoint-12/pytorch_lora_weights.safetensors +3 -0
- checkpoint-12/random_states_0.pkl +3 -0
- checkpoint-12/scaler.pt +3 -0
- checkpoint-12/scheduler.bin +3 -0
- checkpoint-13/optimizer.bin +3 -0
- checkpoint-13/pytorch_lora_weights.safetensors +3 -0
- checkpoint-13/random_states_0.pkl +3 -0
- checkpoint-13/scaler.pt +3 -0
- checkpoint-13/scheduler.bin +3 -0
- checkpoint-14/optimizer.bin +3 -0
- checkpoint-14/pytorch_lora_weights.safetensors +3 -0
- checkpoint-14/random_states_0.pkl +3 -0
- checkpoint-14/scaler.pt +3 -0
- checkpoint-14/scheduler.bin +3 -0
- checkpoint-2/optimizer.bin +3 -0
- checkpoint-2/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2/random_states_0.pkl +3 -0
- checkpoint-2/scaler.pt +3 -0
- checkpoint-2/scheduler.bin +3 -0
- checkpoint-3/optimizer.bin +3 -0
- checkpoint-3/pytorch_lora_weights.safetensors +3 -0
- checkpoint-3/random_states_0.pkl +3 -0
- checkpoint-3/scaler.pt +3 -0
- checkpoint-3/scheduler.bin +3 -0
- checkpoint-4/optimizer.bin +3 -0
- checkpoint-4/pytorch_lora_weights.safetensors +3 -0
- checkpoint-4/random_states_0.pkl +3 -0
- checkpoint-4/scaler.pt +3 -0
- checkpoint-4/scheduler.bin +3 -0
- checkpoint-5/optimizer.bin +3 -0
- checkpoint-5/pytorch_lora_weights.safetensors +3 -0
- checkpoint-5/random_states_0.pkl +3 -0
.gitattributes
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@@ -33,3 +33,7 @@ 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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README.md
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---
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license: creativeml-openrail-m
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library_name: diffusers
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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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base_model: stabilityai/stable-diffusion-xl-base-1.0
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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 - fishtanker/sd-gugg-model-lora-sdxl
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the gugg 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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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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