Instructions to use camenduru/potat1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/potat1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camenduru/potat1", 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
Adding `safetensors` variant of this model
#7 opened over 1 year ago
by
SFconvertbot
local install?
#6 opened almost 3 years ago
by
codecz
longer videos
1
#5 opened almost 3 years ago
by
matthewberman
Update README.md
#4 opened almost 3 years ago
by
KOOOO1
Stretched horizontally
2
#3 opened almost 3 years ago
by
tintwotin
Cannot load "...\vae" because the following keys are missing
3
#2 opened almost 3 years ago
by
tintwotin