Instructions to use antonellaavad/leggregator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antonellaavad/leggregator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("antonellaavad/leggregator") prompt = "Representative" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2d18ce4d0ce9e6ea38c0b0e9e29df351e1c45525c7ed6e769fd24a642a6bf732
- Size of remote file:
- 3.49 MB
- SHA256:
- 594ef3b36621e8374a8a658818f6f33c4aba697beb2a77c5d59fdc5c6ab44d25
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