Instructions to use PAIR/text2video-zero-controlnet-canny-arcane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PAIR/text2video-zero-controlnet-canny-arcane with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PAIR/text2video-zero-controlnet-canny-arcane", 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
the earth
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by Attar2030 - opened
README.md
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tags:
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- text-to-video
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- text-to-image
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---
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# Text2Video-Zero Model Card - ControlNet Canny Aracane Style
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tags:
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- text-to-video
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- text-to-image
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language:
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- ar
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metrics:
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- accuracy
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---
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# Text2Video-Zero Model Card - ControlNet Canny Aracane Style
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