Instructions to use cerspense/zeroscope_v2_XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cerspense/zeroscope_v2_XL 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_XL", 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:
- 262a86f7bff5c715b7841afbe3a098a336dd8db047f1d66924dfd0d24ed077a7
- Size of remote file:
- 2.82 GB
- SHA256:
- 37c52774b327ed2f438cffa8ea7d68359c165c2ecd1f689672c24d91e0a8f35c
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