| base_model: stabilityai/stable-diffusion-3-medium-diffusers | |
| library_name: diffusers | |
| license: openrail++ | |
| tags: | |
| - text-to-image | |
| - text-to-image | |
| - diffusers-training | |
| - diffusers | |
| - lora | |
| - template:sd-lora | |
| - stable-diffusion-xl | |
| - stable-diffusion-xl-diffusers | |
| instance_prompt: <leaf microstructure> | |
| widget: [] | |
| <!-- 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 LoRA DreamBooth - lamm-mit/leaf_LoRA_SD3_V12 | |
| <Gallery /> | |
| ## Model description | |
| These are lamm-mit/leaf_LoRA_SD3_V12 LoRA adaption weights for stabilityai/stable-diffusion-3-medium-diffusers. | |
| The weights were trained using [DreamBooth](https://dreambooth.github.io/). | |
| LoRA for the text encoder was enabled: False. | |
| Special VAE used for training: None. | |
| ## Trigger words | |
| You should use <leaf microstructure> to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](lamm-mit/leaf_LoRA_SD3_V12/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] |