Instructions to use hf-internal-testing/tiny-qwenimage21-turbo-modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-qwenimage21-turbo-modular with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-qwenimage21-turbo-modular", 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
Tiny random-weight Qwen-Image 2.1 Turbo modular pipeline (QwenImage21TurboAutoBlocks) for diffusers CI tests.
Built from hf-internal-testing/tiny-qwenimage21-modular with the Turbo checkpoint's configs: sample_sigmas from
Qwen/Qwen-Image-2.1-Turbo in modular_model_index.json, and use_dynamic_shifting=false, shift_terminal=null in
the scheduler config.
- Downloads last month
- -