Instructions to use kgmkm/SSSSLLDDLL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kgmkm/SSSSLLDDLL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kgmkm/SSSSLLDDLL", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download img/1.webp from kgmkm/SSSSLLDDLL: direct link, hf CLI and curl.
- Browser
- Download file 181 kB
-
https://huggingface.co/kgmkm/SSSSLLDDLL/resolve/main/img/1.webp
- Command line
-
hf download hf://kgmkm/SSSSLLDDLL/img/1.webp
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curl -L -o 1.webp https://huggingface.co/kgmkm/SSSSLLDDLL/resolve/main/img/1.webp
181 kB
