Text-to-Image
Diffusers
Safetensors
QwenImagePipeline
nvidia
ModelOpt
Qwen-Image
quantized
FP4
fp4
8-bit precision
Instructions to use nvidia/Qwen-Image-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/Qwen-Image-NVFP4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/Qwen-Image-NVFP4", 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
Commit History
13 days ago
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Update model card governing terms and license metadata
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Update release date to October 12, 2026
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15 days ago
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Update model card
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Add validated Qwen-Image NVFP4 checkpoint, serving examples and sample images
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16 days ago
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initial commit
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