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:
- 3c87028a94be1b89369adc46d1a08364f12b3b0c8df75b63e9c153c648a80789
- Size of remote file:
- 491 MB
- SHA256:
- e11d16e2957df47d408350c59d1fdbdae53a2b2034cf6acf08389589d21796f0
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