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:
- fd0d3426c2bf644e5cb1f57d38c46e1f5e7d73d342ff4de59f32adac598b8c24
- Size of remote file:
- 1.09 MB
- SHA256:
- 58abadac17cc8fd5554d7c8fb85ce259428cf8b32e146543565faba1ce5581aa
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