Instructions to use callgg/higgs-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/higgs-encoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callgg/higgs-encoder", 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
| { | |
| "n_filters": 32, | |
| "D": 256, | |
| "codebook_dim": 64, | |
| "target_bandwidths": [0.5, 1, 1.5, 2, 4], | |
| "ratios": [8, 5, 4, 2, 3], | |
| "sample_rate": 24000, | |
| "bins": 1024, | |
| "n_q": 8, | |
| "semantic_techer": "hubert_base_general" | |
| } | |