Instructions to use saivs/qwen_segmentation_LoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saivs/qwen_segmentation_LoRa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("saivs/qwen_segmentation_LoRa") 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
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| base_model: Phr00t/Qwen-Image-Edit-Rapid-AIO | |
| instance_prompt: null | |
| # qwen_segmentation_LoRa | |
| <Gallery /> | |
| ## Download model | |
| [Download](/saivs/qwen_segmentation_LoRa/tree/main) them in the Files & versions tab. | |