Instructions to use furaidosu/pchan-concept-qwen-image-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use furaidosu/pchan-concept-qwen-image-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("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("furaidosu/pchan-concept-qwen-image-lora") prompt = "monsters gathering in a lively campus square, banners and balloons decorating the scene, some riding bikes, others chatting or playing" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3440c38cd0b8ede58b8bead8b55cc043081e331b401022d052c5446b8038357a
- Size of remote file:
- 590 MB
- SHA256:
- 5d5a7d2fa1b83f6aa9d6dfb7dc8178138b677ff5249aac30e1a9a6dce9dd3ee0
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