Instructions to use OPPOer/Qwen-Image-Pruning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OPPOer/Qwen-Image-Pruning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OPPOer/Qwen-Image-Pruning", 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
- Draw Things
- DiffusionBee
Support for the new Qwen-Image-2512 model.
#10 opened 3 months ago
by
nukui
Pruning effect seems a failure (for 12B model)
#9 opened 7 months ago
by
shawnfd
models in subfolders
1
#8 opened 8 months ago
by
liutyi
Can a normal Qwen LoRA work in this version?
2
#7 opened 8 months ago
by
bunnycore
How you pruned the model ?
3
#6 opened 8 months ago
by
MohamedRashad
给OPPO团队点赞!继续优化。。。
🚀 1
8
#5 opened 8 months ago
by
wikeeyang
Will there be a non-distilled version?
1
#4 opened 8 months ago
by
anyMODE
Which blocks were removed?
😎 1
3
#3 opened 8 months ago
by
ostris
Are you planning to process the edit model
2
#2 opened 8 months ago
by
gwen0807
Delete diffusion_pytorch_model.bin
#1 opened 9 months ago
by
CVPIE