Instructions to use quarterturn/qwen-image-20b-city with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quarterturn/qwen-image-20b-city 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") pipe.load_lora_weights("quarterturn/qwen-image-20b-city") 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
A Qwen-image 20b LoRA for emulating the City the Animation style and characters.
Note:
- Every caption in the dataset began with "City-style " so if you use that, you should trigger the LoRA
- I made no effort to identify characters in each image, but if you properly describe them, you should get them
- the dataset was captioned by my molmo-image captioning tool (found here on Huggingface)
Trained using musubi-trainer with the defaults for qwen-image using 553 1328x747 images for 16 epochs
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