Instructions to use Kedreamix/Linly-Talker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kedreamix/Linly-Talker with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kedreamix/Linly-Talker", 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:
- cf7ff3941a8f30da149361481bec4270d67c89f381f21a20dd05bd6771abddfa
- Size of remote file:
- 11.3 MB
- SHA256:
- 1f75cdb5556938590c64221f6c47a8d20ab3e368d53c166023eedb12279db8c4
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