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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: openrail++
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tags:
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- text-to-image
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- text-to-image
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- diffusers-training
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- diffusers
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- dora
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- template:sd-lora
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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instance_prompt: a photo of bagan
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widget: []
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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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# SDXL LoRA DreamBooth - YeBhoneLin10/ronaldo
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<Gallery />
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## Model description
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These are YeBhoneLin10/ronaldo LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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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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## Trigger words
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You should use a photo of bagan to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](YeBhoneLin10/ronaldo/tree/main) them in the Files & versions tab.
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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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metadata.jsonl
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{"file_name": "images (2).jpeg", "prompt": "a photo of ronaldo, a man in a red shirt and green shorts"}
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{"file_name": "images.jpeg", "prompt": "a photo of ronaldo, crazno is the new arsenal player"}
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{"file_name": "images (1).jpeg", "prompt": "a photo of ronaldo, a soccer player is celebrating a goal"}
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{"file_name": "images (5).jpeg", "prompt": "a photo of ronaldo, a soccer player"}
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{"file_name": "images (3).jpeg", "prompt": "a photo of ronaldo, crazno celebrates his goal against real madrid"}
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{"file_name": "images (4).jpeg", "prompt": "a photo of ronaldo, crazo celebrates his goal against liverpool"}
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