Instructions to use russc821/zeroscope_v2_576w with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use russc821/zeroscope_v2_576w with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("russc821/zeroscope_v2_576w", 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:
- 56319e3949c11c8f8d86fb3d49731f896a30a180a8d9b607b50ee84bff935937
- Size of remote file:
- 167 MB
- SHA256:
- 8b0d11ff25d00ceaa02f602831d9cfe650509fdc850c0a1bcb2acdfa03bd5d56
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