| --- |
| base_model: teapot |
| 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: a photo of a sher clock |
| widget: |
| - text: A photo of a sher clock in a city |
| output: |
| url: image_0.png |
| - text: A photo of a sher clock in a city |
| output: |
| url: image_1.png |
| - text: A photo of a sher clock in a city |
| output: |
| url: image_2.png |
| - text: A photo of a sher clock in a city |
| output: |
| url: image_3.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 LoRA DreamBooth - William2357/merged |
|
|
| <Gallery /> |
|
|
| ## Model description |
|
|
| These are William2357/merged LoRA adaption weights for teapot. |
|
|
| 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 photo of a sher clock to trigger the image generation. |
|
|
| ## Download model |
|
|
| Weights for this model are available in Safetensors format. |
|
|
| [Download](William2357/merged/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] |
