Instructions to use antonellaavad/unlight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antonellaavad/unlight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WarriorMama777/AbyssOrangeMix2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("antonellaavad/unlight") prompt = "unlight" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a3d5943e4d13f60eb3d5c81f3b2c356acdb9534df269eb6ff341dc7cb7228c1d
- Size of remote file:
- 4 MB
- SHA256:
- 9ccd1b7a255fdb80993d74b0c13f26ea15e4519d1d97118bf9570470c03e7a10
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