Instructions to use Qwen/Qwen-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qwen/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("Qwen/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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
imaghe to image?
in the model card the model advertizes that it can do image to image with image understanding but the image to image pipeline in diffussers doesn't implement that correctly, it just noises the image and runs it through the diffusion process which doesn't allow for deep image understanding. can someone provide the proper way to implement the image to image feature.
Bro, Qwen image to image is not released yet. Some people have tried to make it work but its not worth the effort in my opinion. Just wait for the edit model to be released...
Bro, Qwen image to image is not released yet. Some people have tried to make it work but its not worth the effort in my opinion. Just wait for the edit model to be released...
Is there a planned release date
No release date has been set yet. They say "soon" so I assume a month or so.
thanks
