Instructions to use PublicPrompts/All-In-One-Pixel-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PublicPrompts/All-In-One-Pixel-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("PublicPrompts/All-In-One-Pixel-Model", 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
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#14 opened 11 months ago
by
SFconvertbot
Update README.md
#13 opened over 1 year ago
by
nieweinen
the example pictures lose.
#12 opened over 2 years ago
by
weykon
Update README.md
#11 opened almost 3 years ago
by
UjangBang
Request: DOI
#10 opened almost 3 years ago
by
starats666
Where the data come from?
1
#8 opened about 3 years ago
by
bub3690