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
Install & run this model easily using llmpm
#13 opened 2 months ago
by
sarthak-saxena
why the generated image is so much blurry
#10 opened 11 months ago
by
eason6666
Normal Map can replicate even the human face, so why don't you apply for it?
#9 opened about 1 year ago
by
JOO88
control_mode documentation?
2
#8 opened about 1 year ago
by
mohamed-abdel-maksoud
Recommended strength and guidance end when chaining multiple controlnets
2
#7 opened about 1 year ago
by
jingno123
gray condition
4
#6 opened about 1 year ago
by
Hotpot-Killer
Out of memory
2
#5 opened about 1 year ago
by
Jccc27
The generation effect on objects with dense features is very poor
1
#4 opened about 1 year ago
by
YIGULNO
How to implement gray control
6
#3 opened about 1 year ago
by
makisekurisu-jp
Why remove the tile controlnet?
3
#2 opened about 1 year ago
by
djangolo