Instructions to use wikeeyang/Real-Qwen-Image-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wikeeyang/Real-Qwen-Image-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Real-Qwen-Image-V2", 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 Settings
- Draw Things
- DiffusionBee
Download V2-example-workflow-image.png from wikeeyang/Real-Qwen-Image-V2: direct link, hf CLI and curl.
- Browser
- Download file 2.63 MB
-
https://huggingface.co/wikeeyang/Real-Qwen-Image-V2/resolve/main/V2-example-workflow-image.png
- Command line
-
hf download hf://wikeeyang/Real-Qwen-Image-V2/V2-example-workflow-image.png
-
curl -L -o V2-example-workflow-image.png https://huggingface.co/wikeeyang/Real-Qwen-Image-V2/resolve/main/V2-example-workflow-image.png
2.63 MB

- Xet hash:
- f7d7f8caa9f52d26702c1afa283e33445ee95e70352f730e662883fbcd79769d
- Size of remote file:
- 2.63 MB
- SHA256:
- 2608261472cf0b313a4e0a9149358aea1cf4fca9b322f894b915d06d9f26abc1
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