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
Download vae/diffusion_pytorch_model.bin from cerspense/zeroscope_v2_XL: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/cerspense/zeroscope_v2_XL/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://cerspense/zeroscope_v2_XL/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/cerspense/zeroscope_v2_XL/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- d58147e6bca0699a9f79361cf1178bc127909da5a348e5127b49ec0acbda6a46
- Size of remote file:
- 167 MB
- SHA256:
- 7cfdd672df17db3283633acb3721afc7735927293c2d3bd2bf64939a6dcd950e
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