| --- |
| base_model: runwayml/stable-diffusion-v1-5 |
| library_name: diffusers |
| license: creativeml-openrail-m |
| inference: true |
| tags: |
| - stable-diffusion |
| - stable-diffusion-diffusers |
| - text-to-image |
| - diffusers |
| - controlnet |
| - diffusers-training |
| - 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-Tharani31/constant_alpha |
| |
| These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. |
| |
| |
| |
| ## 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] |
