Instructions to use deepcs233/VividFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deepcs233/VividFace with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("deepcs233/VividFace", 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:
- 926ce983678257d5246b406c4c3bbb9f6a3898d64b78260cea6bc54739c0b000
- Size of remote file:
- 6.26 MB
- SHA256:
- d9a6b68b62d5c637dc02b9d3d28a88464ea0f8e83d055c2cf59c9fd660572b28
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