Text-to-Image
Diffusers
Safetensors
QwenImage21Pipeline
qwen-image
qwen-image-2.1
nvfp4
svdquant
nunchaku
blackwell
image-editing
8-bit precision
Instructions to use joseplcam/Qwen-Image-2.1-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joseplcam/Qwen-Image-2.1-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("joseplcam/Qwen-Image-2.1-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
Download text_encoder/model.safetensors from joseplcam/Qwen-Image-2.1-NVFP4: direct link, hf CLI and curl.
- Browser
- Download file 11.8 GB
-
https://huggingface.co/joseplcam/Qwen-Image-2.1-NVFP4/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://joseplcam/Qwen-Image-2.1-NVFP4/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/joseplcam/Qwen-Image-2.1-NVFP4/resolve/main/text_encoder/model.safetensors
11.8 GB
- Xet hash:
- d9b90dcac1c6565058c63b3b6b3c322b6566ca86fac9e52307def89402301478
- Size of remote file:
- 11.8 GB
- SHA256:
- 83c4462b5ce6b98e2708ca53031e2f9a60a8e402c4c4a0ccd19cb2df8e817ae2
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