| license: openrail++ | |
| library_name: diffusers | |
| tags: | |
| - text-to-image | |
| - text-to-image | |
| - diffusers-training | |
| - diffusers | |
| - lora | |
| - template:sd-lora | |
| - stable-diffusion-xl | |
| - stable-diffusion-xl-diffusers | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: A [v14] | |
| widget: | |
| - text: ' ' | |
| output: | |
| url: image_0.png | |
| <!-- This model card has been generated automatically according to the information the training script had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 'SDXL B-LoRA - lora-library/B-LoRA-painting | |
| <Gallery /> | |
| ## Model description | |
| These are lora-library/B-LoRA-painting LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. | |
| The weights were trained using [DreamBooth](https://dreambooth.github.io/). | |
| LoRA for the text encoder was enabled: False. | |
| Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. | |
| ## Trigger words | |
| You should use "A [v14]" to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](lora-library/B-LoRA-painting/tree/main) them in the Files & versions tab. | |
| ## Intended uses & limitations | |
| #### How to use | |
| ```python | |
| # TODO: add an example code snippet for running this diffusion pipeline | |
| ``` | |
| #### Limitations and bias | |
| [TODO: provide examples of latent issues and potential remediations] | |
| ## Training details | |
| [TODO: describe the data used to train the model] |