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
Update README.md
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by Sineemarj - opened
README.md
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pipeline_tag: text-to-video
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license: cc-by-nc-4.0
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pipeline_tag: text-to-video
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license: cc-by-nc-4.0
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datasets:
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- fka/awesome-chatgpt-prompts
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language:
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- ru
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metrics:
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- accuracy
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- character
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library_name: flair
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tags:
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- legal
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- not-for-all-audiences
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- art
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---
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