from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("tommycik/ControlNetHedFinal")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev", controlnet=controlnet
)controlnet-tommycik/ControlNetHedFinal
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
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]
- Downloads last month
- 2
Model tree for tommycik/ControlNetHedFinal
Base model
black-forest-labs/FLUX.1-dev