Text-to-Image
Diffusers
Safetensors
English
Chinese
Russian
QwenImage21Pipeline
image-editing
qwen-image
turbo
few-step
distillation
Instructions to use WaveCut/Turbo-Image-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Turbo-Image-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/Turbo-Image-2.1", 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 media/recipes.jpg from WaveCut/Turbo-Image-2.1: direct link, hf CLI and curl.
- Browser
- Download file 659 kB
-
https://huggingface.co/WaveCut/Turbo-Image-2.1/resolve/main/media/recipes.jpg
- Command line
-
hf download hf://WaveCut/Turbo-Image-2.1/media/recipes.jpg
-
curl -L -o recipes.jpg https://huggingface.co/WaveCut/Turbo-Image-2.1/resolve/main/media/recipes.jpg
659 kB

- Xet hash:
- 212c92f0d694ab9dcba61a9ad01257842022ff4cfe660441c16bfe190aaf6287
- Size of remote file:
- 659 kB
- SHA256:
- 15da58ebb26be5c1535607339157467ea42a5335cb1cad73a9431e7fc23e1008
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