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 processor/vocab.json from WaveCut/Turbo-Image-2.1: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/WaveCut/Turbo-Image-2.1/resolve/aabfb2e63f9712655f8db8179ca74cff050b2b99/processor/vocab.json
- Command line
-
hf download hf://WaveCut/Turbo-Image-2.1@aabfb2e63f9712655f8db8179ca74cff050b2b99/processor/vocab.json
-
curl -L -o vocab.json https://huggingface.co/WaveCut/Turbo-Image-2.1/resolve/aabfb2e63f9712655f8db8179ca74cff050b2b99/processor/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.