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
upload May checkpoints
Browse files- checkpoints/May.json +0 -0
- checkpoints/May.pth +3 -0
checkpoints/May.json
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checkpoints/May.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:80946b2a8979f5099c34c64f1323b6fd4904bf1827e5ca962d4a942b65c21d40
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size 7499962
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