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
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Add diffusers example (#20)
- Add diffusers example (e9a76799bc397335fbfa74b52d7ef473c636a4d2) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>ea64118
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vid-to-vid (#19)
- vid-to-vid (54b3c36450f7f05a485f048591fb3099583ecfaa) Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>ef6a36a
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Correct pipeline class name (#17)
- Correct pipeline class name (b8dd158b572de0e0a11438f92e172be5f9405374) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>5756ed1
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