Instructions to use CameronDugan/PixelDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CameronDugan/PixelDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CameronDugan/PixelDiffusion", 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
Epoch 179
Browse files- samples/0154.png +0 -0
- samples/0159.png +0 -0
- samples/0164.png +0 -0
- samples/0169.png +0 -0
- samples/0174.png +0 -0
- samples/0179.png +0 -0
samples/0154.png
ADDED
|
|
samples/0159.png
ADDED
|
|
samples/0164.png
ADDED
|
|
samples/0169.png
ADDED
|
|
samples/0174.png
ADDED
|
|
samples/0179.png
ADDED
|
|