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 389
Browse files- samples/0364.png +0 -0
- samples/0369.png +0 -0
- samples/0374.png +0 -0
- samples/0379.png +0 -0
- samples/0384.png +0 -0
- samples/0389.png +0 -0
samples/0364.png
ADDED
|
|
samples/0369.png
ADDED
|
|
samples/0374.png
ADDED
|
|
samples/0379.png
ADDED
|
|
samples/0384.png
ADDED
|
|
samples/0389.png
ADDED
|
|