README.md

---
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
---

<!-- 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-IsraelBenDavid/orientation-control-lora-only-x

These are Control LoRA weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning.
You can find some example images below.

prompt: A soccer ball with a solid background
![images_0)](./images_0.png)
prompt: A soccer ball with a solid background
![images_1)](./images_1.png)
prompt: A soccer ball with a solid background
![images_2)](./images_2.png)
prompt: A soccer ball with a solid background
![images_3)](./images_3.png)
prompt: A credit card with a solid background
![images_4)](./images_4.png)
prompt: A remote control with a solid background
![images_5)](./images_5.png)
prompt: A bed with a solid background
![images_6)](./images_6.png)
prompt: A car with a solid background
![images_7)](./images_7.png)


## 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]