Image-to-Image
Diffusers
English
Chinese
custom_qwen_image
image-generation
multimodal
qwen
quantized
nunchaku
comfyui
Instructions to use QuantFunc/Nunchaku-Qwen-Image-EDIT-2511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QuantFunc/Nunchaku-Qwen-Image-EDIT-2511 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("QuantFunc/Nunchaku-Qwen-Image-EDIT-2511", 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
Long first gen
#6 opened 2 months ago
by
Vernon79
Guide on how to create nunchaku weights
#5 opened 4 months ago
by
vibhavagarwal5
Discord link expired
1
#4 opened 4 months ago
by
toutoufmanga
Possible version with 4-step lightning lora merged?
5
#3 opened 4 months ago
by
Kamikaze-88
Shape '[1, 52, 78, 16, 2, 2]' is invalid for input of size 519168 when using index_timestep_zero to fix image quality
9
#2 opened 4 months ago
by
asdasdasd21313wad
Possible to run this in RTX 2060 Super 8GB VRAM?
3
#1 opened 4 months ago
by
krigeta