Instructions to use samarthum/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use samarthum/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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("samarthum/model") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2480be921c8764d36617598d705f22167497a88ea05b2af0dfdf7febb7d95d73
- Size of remote file:
- 6.59 MB
- SHA256:
- 4f44481b81f080bf5e4f61e1b0ddfe8b37c3d9d69f5f52b7d9d14d0d908fe586
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