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.
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.
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.

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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Model tree for cpatel/flux_9_channel_final_output
Base model
black-forest-labs/FLUX.1-dev