Instructions to use furaidosu/panorama-qwen-image-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use furaidosu/panorama-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/panorama-qwen-image-lora") prompt = "a mad scientist laboratory interior" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Choquinlabs
Upload fisheye_v3-qwen-image_000002000.safetensors with huggingface_hub
f068cbd verified - Xet hash:
- 5dd4539608ce9e3d7faed1c88306a66eb2096cba4de4f7b5480f540da73be555
- Size of remote file:
- 590 MB
- SHA256:
- a9b86ed0dfdfe2ba7f8c1a2fecbbce7cb68256be1bc7201c4be70144e1fa17e9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.