Instructions to use susnato/tortoise-tts_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use susnato/tortoise-tts_dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("susnato/tortoise-tts_dev", 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
- Xet hash:
- 7ff65661afb4159acf7745a798ede428cef8e473a5be572070f4ee27f89beaf1
- Size of remote file:
- 2.72 GB
- SHA256:
- b1326ee089035a9d3e6850a190d55dc269c1ef74968aa341a9fada3fa516df18
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