Instructions to use zarox/catting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zarox/catting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zarox/catting", 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
Delete sample_images
Browse files- sample_images/00.jpg +0 -0
- sample_images/01_(2).jpg +0 -0
- sample_images/02.jpg +0 -0
- sample_images/02_(2).jpg +0 -0
- sample_images/03_(2).jpg +0 -0
sample_images/00.jpg
DELETED
|
Binary file (258 kB)
|
|
|
sample_images/01_(2).jpg
DELETED
|
Binary file (474 kB)
|
|
|
sample_images/02.jpg
DELETED
|
Binary file (181 kB)
|
|
|
sample_images/02_(2).jpg
DELETED
|
Binary file (352 kB)
|
|
|
sample_images/03_(2).jpg
DELETED
|
Binary file (510 kB)
|
|
|