Image-to-Image
Diffusers
Safetensors
ZenImageEditPipeline
text-to-image
image-editing
qwen-image
text-encoder
adapter
8-bit precision
Instructions to use GuiAworld/zen-image-edit-SDNQ-uint4-f16-viggleturbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GuiAworld/zen-image-edit-SDNQ-uint4-f16-viggleturbo 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("GuiAworld/zen-image-edit-SDNQ-uint4-f16-viggleturbo", 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
Download media/limit_numbers.jpg from GuiAworld/zen-image-edit-SDNQ-uint4-f16-viggleturbo: direct link, hf CLI and curl.
- Browser
- Download file 354 kB
-
https://huggingface.co/GuiAworld/zen-image-edit-SDNQ-uint4-f16-viggleturbo/resolve/main/media/limit_numbers.jpg
- Command line
-
hf download hf://GuiAworld/zen-image-edit-SDNQ-uint4-f16-viggleturbo/media/limit_numbers.jpg
-
curl -L -o limit_numbers.jpg https://huggingface.co/GuiAworld/zen-image-edit-SDNQ-uint4-f16-viggleturbo/resolve/main/media/limit_numbers.jpg
354 kB

- Xet hash:
- b9a75254527d2cabb219cc60db6b91e95b8f615d277de352821850a7b94faa62
- Size of remote file:
- 354 kB
- SHA256:
- db9fb272fbea7873292e1f4fdbdcaea958fa1b65c873987f9dcb7951099bda31
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