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: 366 Bytes
5b8131f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"_class_name": "MatFuseVQModel",
"_diffusers_version": "0.35.2",
"attn_resolutions": [],
"ch": 128,
"ch_mult": [
1,
1,
2,
4
],
"dropout": 0.0,
"embed_dim": 3,
"in_channels": 3,
"n_embed": 4096,
"num_res_blocks": 2,
"out_channels": 12,
"resolution": 256,
"scaling_factor": 1.0,
"z_channels": 256
}
|