Instructions to use kding1/dicoo_model_ddp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kding1/dicoo_model_ddp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kding1/dicoo_model_ddp", 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
File size: 134 Bytes
00d384b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e0054edfe01438fb33f7319342259862f544df4e9c810fd5fad218b387ed2287
size 167483633
|