Instructions to use hf-internal-testing/tiny-qwenimage-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-qwenimage-pipe 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-qwenimage-pipe", 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
- Draw Things
- DiffusionBee
- Xet hash:
- d93c692320d7d9efb29153ccbd079f96e8797636c53788b6c2d67b8cc0002c78
- Size of remote file:
- 19.6 MB
- SHA256:
- e035ddbd77d8338bbf7ee0b05d8c39f4d7bdbfa891249a0eb28ebea46d43f207
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