Instructions to use GSVC-Project/gsvc-asset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GSVC-Project/gsvc-asset with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GSVC-Project/gsvc-asset", 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:
- 3155e53d087d7a82909875b4514f25b5f57769f74fd30fe04dc2af48354e1379
- Size of remote file:
- 183 MB
- SHA256:
- 555eff5f4026774f477bebdcbb3b52548e0da230803959dcebcea4d732a90dd9
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