Instructions to use guillekenzo/aros-00ae1a96-Lynx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guillekenzo/aros-00ae1a96-Lynx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("guillekenzo/aros-00ae1a96-Lynx") prompt = "A photo of rzmsj woman on a wooden table indoors." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 87caa4da14fae2b3fdbe9b09c94fc25d772ed281e71aa364c3c994c6c89398b0
- Size of remote file:
- 1.13 MB
- SHA256:
- 30b9a5fc21f0fceb1e07c52892bc0e91d5323584d9946ea4641b02d611b38576
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