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", torch_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:
- 06f9b2e9d0244d3e3fecab981787283b4bbf0804b38a2ca298ae6b6bf86ea60b
- Size of remote file:
- 3.42 MB
- SHA256:
- 3f885f190fa6c11f2e16c0459efabffdb2172f9474e63b816c513552ac0a0e00
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