Instructions to use ChuuniZ/models_collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChuuniZ/models_collection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChuuniZ/models_collection", 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
File size: 284 Bytes
a4dd459 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"do_normalize": true,
"do_pad": true,
"do_rescale": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "VitMatteImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"rescale_factor": 0.00392156862745098,
"size_divisibility": 32
}
|