Instructions to use Danrisi/Lenovo_Qwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Danrisi/Lenovo_Qwen 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("Danrisi/Lenovo_Qwen") 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
P.S: No need to use them. Here is an example of prompting:overexposed indoor scene, raw unedited amateurish candid shot of ...
Also you can control: indoor/outdoor, overexposed/underexposed.
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Qwen/Qwen-Image