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:
- b809b29ba211cd7a96061a61bcf979895c83879abaf911ba006fece184d33c3d
- Size of remote file:
- 3.49 MB
- SHA256:
- f3ab2865002a7150dcd23e7b65b78f8453e942a2c8b54e414cfe92c97197c323
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