Instructions to use tiny-random/Qwen-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tiny-random/Qwen-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tiny-random/Qwen-Image", 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:
- cd9495066b9dcd8f9ae25588710df13fbbe461c2c7d60e7f47c0a8d53c74cf1c
- Size of remote file:
- 5.17 MB
- SHA256:
- dadd08659a0b3e8f70e6d9b41b29f05a7e11b47dfb45e6bdf61bbe29d5a2fb87
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