Instructions to use gvecchio/MatFuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gvecchio/MatFuse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gvecchio/MatFuse", torch_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
File size: 349 Bytes
5b8131f | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"_class_name": "MultiConditionEncoder",
"_diffusers_version": "0.35.2",
"clip_image_model": "ViT-B/16",
"clip_text_model": "sentence-transformers/clip-ViT-B-16",
"n_colors": 5,
"palette_hidden_channels": 64,
"palette_in_channels": 3,
"palette_out_channels": 512,
"sketch_in_channels": 1,
"sketch_out_channels": 4
}
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