Video-to-Video
Diffusers
Safetensors
English
JoyVideoEditPipeline
video
video-editing
reference-image-guided
autoregressive-diffusion
Instructions to use jdopensource/JoyAI-Video-Edit-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jdopensource/JoyAI-Video-Edit-Diffusers 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-Diffusers", 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: 498 Bytes
a88664b | 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 | {
"_class_name": "JoyVideoEditTransformer3DModel",
"_diffusers_version": "0.40.0.dev0",
"chunk_size": 1,
"global_sink_chunk": true,
"hidden_size": 4096,
"in_channels": 64,
"local_window_size": 3,
"mlp_width_ratio": 4.0,
"num_attention_heads": 32,
"num_layers": 40,
"out_channels": 64,
"patch_size": [
1,
1,
1
],
"rope_dim_list": [
16,
56,
56
],
"source_id_rope_dim": 128,
"source_id_rope_theta": 256.0,
"text_dim": 4096,
"theta": 256
}
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