| --- |
| base_model: black-forest-labs/FLUX.1-dev |
| library_name: diffusers |
| license: other |
| inference: true |
| tags: |
| - flux |
| - flux-diffusers |
| - text-to-image |
| - diffusers |
| - control-lora |
| - diffusers-training |
| - lora |
| - flux |
| - flux-diffusers |
| - text-to-image |
| - diffusers |
| - control-lora |
| - diffusers-training |
| - lora |
| --- |
| |
| <!-- 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. --> |
|
|
|
|
| # control-lora-easydata2022/pose-control-lora |
|
|
| These are Control LoRA weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning. |
|
|
|
|
| ## License |
|
|
| Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md) |
|
|
|
|
| ## 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] |
