Text-to-Image
Diffusers
Safetensors
English
Text-to-Image
ControlNet
Diffusers
Flux.1-dev
image-generation
Stable Diffusion
Instructions to use ideg/FLUX.1-dev-ControlNet-Union-Pro-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ideg/FLUX.1-dev-ControlNet-Union-Pro-2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ideg/FLUX.1-dev-ControlNet-Union-Pro-2.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 14b343bdaec85df41f87c572abf3d325cd2dd37384e130e38f65693e30ce7af3
- Size of remote file:
- 729 kB
- SHA256:
- 97141ba67fa8033da9b3dd869118b07a7d985492c02bc0f9120b3058c32d3d49
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