Instructions to use cerspense/zeroscope_v2_576w with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cerspense/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("cerspense/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
Vram about GPU
#40
by paradoxian - opened
"zeroscope_v2_576w uses 7.9gb of vram when rendering 30 frames at 576x320"
but in 4090, it use 20+gb of vram, what is wrong?
paradoxian changed discussion title from Vram to Vram about GPU
I also have the same question. How did you solve it?