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 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 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", 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
Can the Union Pro be release each model separated?
#4
by imHugoLeandro - opened
Like the title says, due to the control net size and hit in our GPUs performance, could you guys release the models individually separated? Like depth, canny, tile, line, etc
So it goes easier in the performance hit. This Union is great but not for the Vram size needed and the current GPUs we have (common user without a professional graphics card, even on my 4080 I have a hard time running this).
Thank you very much!
Yes, we have plans for releasing separate CNs, still cooking.
这个合并的controlnet咋这么大啊,可以发面fp16的版本么?