Instructions to use ManyWayne/REPLACE-THE-LIGHT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManyWayne/REPLACE-THE-LIGHT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("easygoing0114/Qwen-Image-Edit-2509_clear", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ManyWayne/REPLACE-THE-LIGHT") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- QIE2509 -REPLACE-THE-LIGHT.safetensors +3 -0
- images/01.jpg +3 -0
QIE2509 -REPLACE-THE-LIGHT.safetensors
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size 236117032
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images/01.jpg
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