Instructions to use Lakonik/pi-Qwen-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lakonik/pi-Qwen-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lakonik/pi-Qwen-Image", 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
Nice work
#1
by Verole - opened
So nice! Thank you. Fast and good
please, do Qwen edit 2509 !! i pray for this
So nice! Thank you. Fast and good
please, do Qwen edit 2509 !! i pray for this
did you test it with qie2509 and it didn't work?
Thanks! Qwen-Image-Edit is on my todo list.
Hi. Appreciate your work. The best. But i cannot get lora running. Add loras node but no effect. Just tested Flux
Hi. Appreciate your work. The best. But i cannot get lora running. Add loras node but no effect. Just tested Flux
I've only tested Qwen-Image with Loras and they do work for me. This repo is Lakonik/pi-Qwen-Image, not Flux, maybe better you ask there.
It's amazing. Gguf support would be nice too.