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
- Draw Things
- DiffusionBee
- Xet hash:
- a72f49fb6c2f7bb987eb131bb7e56a4d8a4da12dcb61c034391c27fe530547b8
- Size of remote file:
- 3.49 MB
- SHA256:
- 7ae7be25bc1d36338da1417bb5b77f114e9fde091d399d57c8e2c201ed035fa6
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