Instructions to use hasanmuzak/qwen-image-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hasanmuzak/qwen-image-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hasanmuzak/qwen-image-fp8", 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
- Xet hash:
- 6aa01df56f4ca925f4d0014dc9007457b3c108856c3342bfd8da9403c9c52cc3
- Size of remote file:
- 2.48 GB
- SHA256:
- 82facc0cd2aaf909dfb92c8189c8d31c3b91c88b6623d890f3d5f7bed529bff5
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