Instructions to use abdd68/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abdd68/output 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("abdd68/output") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_0.png from abdd68/output: direct link, hf CLI and curl.
- Browser
- Download file 379 kB
-
https://huggingface.co/abdd68/output/resolve/main/image_0.png
- Command line
-
hf download hf://abdd68/output/image_0.png
-
curl -L -o image_0.png https://huggingface.co/abdd68/output/resolve/main/image_0.png
379 kB
