Instructions to use lora-library/felps-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/felps-model 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("lora-library/felps-model") prompt = "felps" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e3683672fc8220a3563e9d3c03c87d997f24a5c213efea71ca7eb39fef213f9b
- Size of remote file:
- 557 Bytes
- SHA256:
- 7fa181fa360d46feed4180ea17c8b6a4a879a9b4231c2e91aff2be20be9076cc
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