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:
- e9d55d894b9fd8392be3f13b55d0cd1067d4b01538eae80cb7b1f8e6c871577b
- Size of remote file:
- 6.85 MB
- SHA256:
- 3b89330c2b3a081825bbc578d58bbdc3de0dab0ff49279e273e5f10111c9cb12
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