Instructions to use nakkati/lrscheduler_linear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nakkati/lrscheduler_linear 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("nakkati/lrscheduler_linear") prompt = "photo of Luffy, the pirate with a straw hat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7813c53f893f9ac5642fcf4652b0c0aa276810fdb800eea6ccfd7c1d7b743e80
- Size of remote file:
- 6.85 MB
- SHA256:
- d6e7c2e0e18f6c1901686813b28458bd118db949c67e6d5c73ab2e80f5063c18
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