Upload Diffusers-format 0811 checkpoint
Browse files- README.md +115 -0
- model_index.json +28 -0
- scheduler/scheduler_config.json +18 -0
- transformer/config.json +27 -0
- transformer/diffusion_pytorch_model-00001-of-00007.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00007.safetensors +3 -0
- transformer/diffusion_pytorch_model-00003-of-00007.safetensors +3 -0
- transformer/diffusion_pytorch_model-00004-of-00007.safetensors +3 -0
- transformer/diffusion_pytorch_model-00005-of-00007.safetensors +3 -0
- transformer/diffusion_pytorch_model-00006-of-00007.safetensors +3 -0
- transformer/diffusion_pytorch_model-00007-of-00007.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +901 -0
- vae/config.json +154 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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language:
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- en
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library_name: diffusers
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pipeline_tag: video-to-video
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tags:
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- diffusers
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- video
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- video-to-video
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- video-editing
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- reference-image-guided
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- autoregressive-diffusion
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base_model: jdopensource/JoyAI-Video-Edit
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inference: false
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---
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# JoyAI-Video-Edit Diffusers
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This repository contains the Diffusers-format release of the JoyAI-Video-Edit `0811` checkpoint. It provides the `JoyVideoEditPipeline`, transformer, causal video VAE, and scheduler in the standard Diffusers directory layout.
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The MiMo-VL text/vision encoder is not duplicated in this repository. Load it separately from [`XiaomiMiMo/MiMo-VL-7B-RL-2508`](https://huggingface.co/XiaomiMiMo/MiMo-VL-7B-RL-2508), as shown below.
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## Links
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- [Project repository](https://github.com/jd-opensource/JoyAI-Video-Edit)
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- [Paper](https://arxiv.org/abs/2608.03974)
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- [Original checkpoint](https://huggingface.co/jdopensource/JoyAI-Video-Edit)
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- [Online demo](https://huggingface.co/spaces/wxDai/joyai-video-edit)
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## Installation
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The checkpoint requires a Diffusers build containing `JoyVideoEditPipeline`. Until the implementation is available in a released Diffusers version, install the development branch:
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```bash
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pip install --upgrade torch transformers accelerate safetensors imageio-ffmpeg
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pip install --upgrade "git+https://github.com/feice-huang/diffusers.git@add_joyvideoedit"
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```
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## Usage
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```python
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import torch
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from diffusers import JoyVideoEditPipeline
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from diffusers.utils import export_to_video, load_video
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from transformers import AutoProcessor, Qwen2_5_VLForConditionalGeneration
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model_id = "jdopensource/JoyAI-Video-Edit-Diffusers"
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mimo_id = "XiaomiMiMo/MiMo-VL-7B-RL-2508"
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processor = AutoProcessor.from_pretrained(mimo_id)
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text_encoder = Qwen2_5_VLForConditionalGeneration.from_pretrained(
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mimo_id,
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torch_dtype=torch.bfloat16,
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)
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pipe = JoyVideoEditPipeline.from_pretrained(
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model_id,
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text_encoder=text_encoder,
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processor=processor,
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torch_dtype=torch.bfloat16,
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)
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pipe.enable_model_cpu_offload()
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video = load_video("input.mp4")
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result = pipe(
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video=video,
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prompt="Turn the scene into a watercolor painting.",
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num_inference_steps=2,
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generator=torch.Generator(device="cuda").manual_seed(0),
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output_type="pil",
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)
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export_to_video(result.frames[0], "output.mp4", fps=16)
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```
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## Input and output notes
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- The pipeline performs flow-matching denoising and does not use classifier-free guidance. It does not accept `negative_prompt` or `guidance_scale`.
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- The source video frame count must be `8 * n + 1` after preprocessing.
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- Output height and width must be divisible by `24`. If omitted, they default to the source video dimensions.
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- `num_inference_steps=2` is the checkpoint's standard inference setting.
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- Supported `output_type` values are `"pil"`, `"np"`, `"pt"`, and `"latent"`.
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- `ref_image` is optional and enables reference-image-guided editing.
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- The repository does not include `text_encoder`, `tokenizer`, or `processor`; these are loaded from MiMo-VL or replaced with precomputed embeddings.
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## Repository structure
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```text
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JoyAI-Video-Edit-Diffusers/
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├── model_index.json
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├── scheduler/
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│ └── scheduler_config.json
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├── transformer/
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│ ├── config.json
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│ ├── diffusion_pytorch_model.safetensors.index.json
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│ └── diffusion_pytorch_model-00001-of-00007.safetensors ...
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└── vae/
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├── config.json
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└── diffusion_pytorch_model.safetensors
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```
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## Citation
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```bibtex
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@article{xiao2026joyai,
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title={JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion},
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author={Xiao, Yicheng and Dai, Wenxun and Qin, Xinran and Song, Lin and Zhang, Maoquan and Xu, Hang and Chen, Yukang and Li, Yitong and Zhang, Guohui and Zhang, Yuan and Zhang, Xuying and Zhang, Tommy and Yuan, Jianlong and Li, Peihao and Lu, Shuai and Fu, Siming and Zhao, Chuyang and Han, Xin and Huang, Jie and Li, Wenbo and Ma, Guoqing and Huang, Wei and Qi, Xiaojuan and Huang, Haoyang and Duan, Nan},
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journal={arXiv preprint arXiv:2608.03974},
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year={2026}
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}
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```
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## License
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Apache License 2.0. See the [original project](https://github.com/jd-opensource/JoyAI-Video-Edit) for details.
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model_index.json
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{
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"_class_name": "JoyVideoEditPipeline",
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"_diffusers_version": "0.40.0.dev0",
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"processor": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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null,
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null
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],
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"tokenizer": [
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null,
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null
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],
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"transformer": [
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"diffusers",
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"JoyVideoEditTransformer3DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKLJoyVideoEdit"
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "FlowMatchEulerDiscreteScheduler",
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"_diffusers_version": "0.40.0.dev0",
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"base_image_seq_len": 256,
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"base_shift": 0.5,
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"invert_sigmas": false,
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"max_image_seq_len": 4096,
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"max_shift": 1.15,
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"num_train_timesteps": 1000,
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"shift": 1.0,
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"shift_terminal": null,
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"stochastic_sampling": false,
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"time_shift_type": "exponential",
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"use_beta_sigmas": false,
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"use_dynamic_shifting": false,
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"use_exponential_sigmas": false,
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"use_karras_sigmas": false
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}
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transformer/config.json
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{
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"_class_name": "JoyVideoEditTransformer3DModel",
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"_diffusers_version": "0.40.0.dev0",
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"chunk_size": 1,
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"global_sink_chunk": true,
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"hidden_size": 4096,
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"in_channels": 64,
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"local_window_size": 3,
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"mlp_width_ratio": 4.0,
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"num_attention_heads": 32,
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"num_layers": 40,
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"out_channels": 64,
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"patch_size": [
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1,
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1,
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1
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],
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"rope_dim_list": [
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16,
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56,
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56
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],
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"source_id_rope_dim": 128,
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"source_id_rope_theta": 256.0,
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"text_dim": 4096,
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"theta": 256
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}
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transformer/diffusion_pytorch_model-00001-of-00007.safetensors
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size 4905201528
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| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 32563019904
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"condition_embedder.text_embedder.linear_1.bias": "diffusion_pytorch_model-00001-of-00007.safetensors",
|
| 7 |
+
"condition_embedder.text_embedder.linear_1.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
|
| 8 |
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"condition_embedder.text_embedder.linear_2.bias": "diffusion_pytorch_model-00001-of-00007.safetensors",
|
| 9 |
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"condition_embedder.text_embedder.linear_2.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
|
| 10 |
+
"condition_embedder.time_embedder.linear_1.bias": "diffusion_pytorch_model-00001-of-00007.safetensors",
|
| 11 |
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"condition_embedder.time_embedder.linear_1.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
|
| 12 |
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"condition_embedder.time_embedder.linear_2.bias": "diffusion_pytorch_model-00001-of-00007.safetensors",
|
| 13 |
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"condition_embedder.time_embedder.linear_2.weight": "diffusion_pytorch_model-00001-of-00007.safetensors",
|
| 14 |
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"condition_embedder.time_proj.bias": "diffusion_pytorch_model-00001-of-00007.safetensors",
|
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|
| 900 |
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|
| 901 |
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}
|
vae/config.json
ADDED
|
@@ -0,0 +1,154 @@
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|
| 1 |
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{
|
| 2 |
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"_class_name": "AutoencoderKLJoyVideoEdit",
|
| 3 |
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"_diffusers_version": "0.40.0.dev0",
|
| 4 |
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"block_in_channels": [
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
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|
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|
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|
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|
| 152 |
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|
| 153 |
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|
| 154 |
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}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:32d24ce9000dfee1f81b51200381bcd62afbfb0bae5ef1c38b8ec635d4c5bb87
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| 3 |
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size 1534679502
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