Instructions to use Qwen/Qwen-Image-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qwen/Qwen-Image-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1", 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
ๅ ๅฝฑ๏ผๅ่่ฝๅ๏ผ่ธไธๅ่ฝๅไปไธๅ้ขๆ๏ผๅธๆๅๆฅๅๅ
#11 opened 19 minutes ago
by
sumirecccp
Quality suggestions
๐คโ 2
#10 opened about 1 hour ago
by
ChuckMcSneed
Request: More permissive license for Qwen-Image-2.1
๐ 3
3
#9 opened about 2 hours ago
by
JJHaggar
License email bounces
#7 opened about 6 hours ago
by
alvdansen
License renders this model useless
๐โ 15
14
#6 opened about 9 hours ago
by
juang3d
่ฟไธชte็จ็8b qwen3_vlๆฏๆๅข้่ฎญ็ป็๏ผ
#5 opened about 9 hours ago
by
6san
torchvision is all you need.
#4 opened about 9 hours ago
by
alfredplpl
ๅ้ฎ็ฅไบ
๐ฅ 6
2
#3 opened about 10 hours ago
by
Sombrer0
vllm-omni support?
1
#2 opened about 10 hours ago
by
RealBar
Thank You
๐ค 19
4
#1 opened about 11 hours ago
by
dns