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 gfpgan ckpt
Browse files
gfpgan/weights/GFPGANv1.4.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2cd4703ab14f4d01fd1383a8a8b266f9a5833dacee8e6a79d3bf21a1b6be5ad
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size 348632874
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gfpgan/weights/parsing_parsenet.pth
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oid sha256:3d558d8d0e42c20224f13cf5a29c79eba2d59913419f945545d8cf7b72920de2
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size 85331193
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