Text-to-Video
Diffusers
Safetensors
English
StableDiffusionPseudo3DPipeline
text-to-image
jax-diffusers-event
art
Instructions to use TempoFunk/makeavid-sd-jax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TempoFunk/makeavid-sd-jax with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TempoFunk/makeavid-sd-jax", 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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```bibtext
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@misc{TempoFunk2023,
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author = {Lopho,
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title = {TempoFunk: Extending latent diffusion image models to Video},
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url = {https://github.com/lopho/makeavid-sd-tpu},
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month = {5},
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*This model card was written by: [Lopho](https://hugginface.co/lopho), [
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```bibtext
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@misc{TempoFunk2023,
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author = {Lopho, MaiComputer},
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title = {TempoFunk: Extending latent diffusion image models to Video},
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url = {https://github.com/lopho/makeavid-sd-tpu},
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month = {5},
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---
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*This model card was written by: [Lopho](https://hugginface.co/lopho), [MaiComputer](https://huggingface.co/maicomputer), [Julian Herrera](https://huggingface.co/puffy310) and is based on the [DALL-E Mini model card](https://huggingface.co/dalle-mini/dalle-mini).*
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