Instructions to use jdopensource/JoyAI-Video-Edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jdopensource/JoyAI-Video-Edit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jdopensource/JoyAI-Video-Edit", 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
File size: 1,786 Bytes
08b8ec2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | {
"_class_name": "XVAEChunkCausal",
"_diffusers_version": "0.34.0",
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"out_channels": 3,
"patch_size": 2,
"latent_channels": 64,
"layers_per_block": 2,
"block_in_channels": [128, 256, 512, 1024],
"temporal_downsample": [true, true, true, false],
"chunk_size": 48,
"latents_mean": [
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"latents_std": [
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4.65625, 1.1875, 0.65625, 0.738281, 0.851562, 0.71875, 0.796875, 2.78125,
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}
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