ControlNetCannyNew

How to use

# 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]

--- base_model: black-forest-labs/FLUX.1-dev library_name: diffusers license: other inference: true tags: - flux - flux-diffusers - text-to-image - diffusers - controlnet - diffusers-training - flux - flux-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-tommycik/ControlNetCannyNew These are controlnet weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning. You can find some example images below. prompt: transparent cocktail galss with elegant stem and a double curved bowl on a white background  ## 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]