Text-to-Image
Diffusers
Safetensors
English
Text-to-Image
ControlNet
Diffusers
Flux.1-dev
image-generation
Stable Diffusion
Instructions to use Shakker-Labs/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 Shakker-Labs/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("Shakker-Labs/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
- Draw Things
- DiffusionBee
Out of memory
#5
by Jccc27 - opened
Hello, the CN version 2.0 is really very powerful. I want to use tile version CN 1.0 and canny version CN 2.0 in my workflow at the same time. But in this case, even my 4090 will run out of video memory (flux of gguf-Q8). Is there any solution? Thank you for open-sourcing such an excellent model!
ABDALLALSWAITI/FLUX.1-dev-ControlNet-Union-Pro-2.0-fp8
thanks for
https://civitai.com/models/1488208 support
amazing! This is a wonderful quantification. Thank you for your hard work!