Instructions to use ishicode/ddpm-low-control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ishicode/ddpm-low-control with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ishicode/ddpm-low-control", 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
File size: 134 Bytes
eaf8d20 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1ece2697cb42be2c9cbc016cbad4df14f5eae8b8fee8eddb573fd4235ad892fc
size 454867790
|