controlnet-cpatel/flux_9_channel_final_output

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: The space features stair treads and a minimalist reception desk or countertop. images_0) prompt: The space contains wooden shelving with displayed items like bottles and sculptures, along with wood paneling. There are also black pendant lamps hanging down. images_1) prompt: The space contains vintage-style white radiators, and two framed, abstract paintings of celestial bodies. Hanging from the ceiling are three simple pendant lamps with exposed bulbs. images_2)

License

Please adhere to the licensing terms as described here

Intended uses & limitations

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]

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