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
- Xet hash:
- 76edc7bb349667e4ca40571010194f0b0380242ec233163a7a7905e033a51199
- Size of remote file:
- 295 MB
- SHA256:
- bde2241fb86e06dccd5784b48cbab74948173d489ed85cf319b17abab70c9fa2
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