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:
- ed16bb1d9863bdc0192130bb6965bc59292fe03afd393d2fc0c75efe73f34809
- Size of remote file:
- 6.76 GB
- SHA256:
- a871a3ff2de2b0cc116bbe25d030faa43d7d52072bdc5f832b23c28888f24399
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