Instructions to use fal/Qwen-Image-2.1-Components-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Qwen-Image-2.1-Components-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/Qwen-Image-2.1-Components-FlashPack", 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 vae/model.flashpack from fal/Qwen-Image-2.1-Components-FlashPack: direct link, hf CLI and curl.
- Browser
- Download file 676 MB
-
https://huggingface.co/fal/Qwen-Image-2.1-Components-FlashPack/resolve/main/vae/model.flashpack
- Command line
-
hf download hf://fal/Qwen-Image-2.1-Components-FlashPack/vae/model.flashpack
-
curl -L -o model.flashpack https://huggingface.co/fal/Qwen-Image-2.1-Components-FlashPack/resolve/main/vae/model.flashpack
676 MB
- Xet hash:
- b4716d610d1315e2f4046f6818462bba092fbe4ee921f3ac9095ff65b10461af
- Size of remote file:
- 676 MB
- SHA256:
- f871730761eb0ce00b256a8b3c53bc0878ff1883022363a4fd740d7c5599f970
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