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:
- 813a8a46dced7b9ad9b63006913ed23411693922bf9d3e97f60190b4f5a1354c
- Size of remote file:
- 590 MB
- SHA256:
- f59cbaafbac24aa730f0e14e11c04cbf09f7607f411cffac01b6c6655580dabf
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