Instructions to use unsloth/Qwen-Image-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use unsloth/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("unsloth/Qwen-Image-FP8", dtype=torch.bfloat16, device_map="cuda") prompt = "cute sloth typing on a computer (INT8)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Unsloth Desktop
Commit History
17 days ago
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Add safetensors
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Fix model card tags
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Add pre-cast fp8 text encoder checkpoint
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Rebuild INT8 checkpoint with text-stream excludes (short-prompt torch._int_mm fix); gate 28/28 PASS, LPIPS mean 0.057
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Update INT8 LPIPS after text-stream exclude rebuild (0.069 -> 0.057)
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Simplify FP8 stability note
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Set base_model and add unsloth tag
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initial commit
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