Text-to-Image
Diffusers
Safetensors
flux
flux-diffusers
controlnet
diffusers-training
4-bit precision
bitsandbytes
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("tommycik/ControlNetCannyReducedImproved")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev", controlnet=controlnet
)controlnet-tommycik/ControlNetCannyReducedImproved
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]
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Model tree for tommycik/ControlNetCannyReducedImproved
Base model
black-forest-labs/FLUX.1-dev