Instructions to use yuu062/ZImageTurbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuu062/ZImageTurbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yuu062/ZImageTurbo", 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
Upload qwen_3_4b.safetensors
Browse files- qwen_3_4b.safetensors +3 -0
qwen_3_4b.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c671498573ac2f7a5501502ccce8d2b08ea6ca2f661c458e708f36b36edfc5a
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size 8044982048
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