Image-to-Image
Diffusers
Safetensors
English
Image-to-Image
ControlNet
Diffusers
QwenImageControlNetInpaintPipeline
Qwen-Image
Instructions to use InstantX/Qwen-Image-ControlNet-Inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/Qwen-Image-ControlNet-Inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/Qwen-Image-ControlNet-Inpainting", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Inpainting
#9 opened 3 months ago
by
Truong1324567
Support for Qwen Image 2512
👍 7
#8 opened 4 months ago
by
nukui
About Training Dataset
🔥 1
2
#7 opened 5 months ago
by
Queen-Historia
Can't I use it with GGUF-Qwen-Image-Edit-2509-AIO ? Why are my pictures all black screen?
#6 opened 6 months ago
by
TanEsean
Update README.md
1
#5 opened 8 months ago
by
Cockboy1
Will a similiar controlnet be released for Qwen Image Edit?
#3 opened 8 months ago
by
Eumenez
Sadly doesn't work with qwen-image-edit
1
#2 opened 8 months ago
by
menahem121