| | --- |
| | base_model: stabilityai/stable-diffusion-2-1-base |
| | library_name: diffusers |
| | license: creativeml-openrail-m |
| | inference: true |
| | tags: |
| | - stable-diffusion |
| | - stable-diffusion-diffusers |
| | - text-to-image |
| | - diffusers |
| | - controlnet |
| | - diffusers-training |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| |
|
| | # controlnet-ethantqiu/big_lr_model_out |
| | |
| | These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning. |
| | You can find some example images below. |
| | |
| | prompt: A plate of tomatoes and avocado. |
| |  |
| | |
| | |
| | |
| | ## 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] |
