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", 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
- Draw Things
- DiffusionBee
| { | |
| "_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 | |
| } | |