Instructions to use Jigen/qwen-image-capybara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jigen/qwen-image-capybara 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("Jigen/qwen-image-capybara") prompt = "photograph of a capybara standing on its hind legs, it wears a knitted sweater which is bright white, but with black lettering on it that says 'Capybara for Qwen-Image' The background is black." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Capybara for Qwen-Image

- Prompt
- photograph of a capybara standing on its hind legs, it wears a knitted sweater which is bright white, but with black lettering on it that says 'Capybara for Qwen-Image' The background is black.

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Model description
Qwen Image (original model, not 2512).
See uploaded image ComfyUI prompts for example prompts.
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Base model
Qwen/Qwen-Image