Instructions to use callgg/vibevoice-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/vibevoice-large 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/vibevoice-large", 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: 355 Bytes
4fe8672 e22f0de 4fe8672 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"processor_class": "VibeVoiceProcessor",
"speech_tok_compress_ratio": 3200,
"db_normalize": true,
"audio_processor": {
"feature_extractor_type": "VibeVoiceTokenizerProcessor",
"sampling_rate": 24000,
"normalize_audio": true,
"target_dB_FS": -25,
"eps": 1e-06
},
"language_model_pretrained_name": "qwen2.5-vl-7b-it-bf16"
} |