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
Download model_index.json from jdopensource/JoyAI-Video-Edit-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 429 Bytes
-
https://huggingface.co/jdopensource/JoyAI-Video-Edit-Diffusers/resolve/main/model_index.json
- Command line
-
hf download hf://jdopensource/JoyAI-Video-Edit-Diffusers/model_index.json
-
curl -L -o model_index.json https://huggingface.co/jdopensource/JoyAI-Video-Edit-Diffusers/resolve/main/model_index.json
429 Bytes
| { | |
| "_class_name": "JoyVideoEditPipeline", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "processor": [ | |
| null, | |
| null | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| null, | |
| null | |
| ], | |
| "tokenizer": [ | |
| null, | |
| null | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "JoyVideoEditTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLJoyVideoEdit" | |
| ] | |
| } | |