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EdenLive-5B-Causal-Diffusers

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EdenLiveCausalPipeline
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EdenLive
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  1. .gitattributes +1 -0
  2. LICENSE +202 -0
  3. README.md +109 -0
  4. decoder/config.json +12 -0
  5. decoder/diffusion_pytorch_model.safetensors +3 -0
  6. model_index.json +44 -0
  7. proxy_encoder/LICENSE.md +66 -0
  8. proxy_encoder/NOTICE.md +19 -0
  9. proxy_encoder/config.json +67 -0
  10. proxy_encoder/model.safetensors +3 -0
  11. scheduler/scheduler_config.json +13 -0
  12. text_encoder/config.json +34 -0
  13. text_encoder/model.safetensors +3 -0
  14. tokenizer/special_tokens_map.json +332 -0
  15. tokenizer/spiece.model +3 -0
  16. tokenizer/tokenizer.json +3 -0
  17. tokenizer/tokenizer_config.json +2749 -0
  18. transformer/LICENSE.md +66 -0
  19. transformer/NOTICE.md +19 -0
  20. transformer/config.json +25 -0
  21. transformer/diffusion_pytorch_model-00001-of-00005.safetensors +3 -0
  22. transformer/diffusion_pytorch_model-00002-of-00005.safetensors +3 -0
  23. transformer/diffusion_pytorch_model-00003-of-00005.safetensors +3 -0
  24. transformer/diffusion_pytorch_model-00004-of-00005.safetensors +3 -0
  25. transformer/diffusion_pytorch_model-proxy-projection.safetensors +3 -0
  26. transformer/diffusion_pytorch_model.safetensors.index.json +834 -0
  27. vae/config.json +127 -0
  28. vae/diffusion_pytorch_model.safetensors +3 -0
.gitattributes CHANGED
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LICENSE ADDED
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README.md ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
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+ license: other
3
+ license_name: edenlive-mixed
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+ license_link: https://huggingface.co/VAST-AI/EdenLive-5B-Causal-Diffusers#license
5
+ library_name: diffusers
6
+ pipeline_tag: image-to-video
7
+ base_model: VAST-AI/EdenLive
8
+ tags:
9
+ - video-generation
10
+ - diffusers
11
+ - EdenLive
12
+ ---
13
+
14
+ # EdenLive 5B Causal — Diffusers
15
+
16
+ [EdenLive](https://github.com/VAST-AI-Research/EdenLive) generates video
17
+ from an RGB proxy video, a reference image, and a text prompt.
18
+ The reference image provides appearance, while the proxy video provides
19
+ motion and scene structure.
20
+
21
+ This repository contains the 5B causal checkpoint in Diffusers format.
22
+ The model generates video in causal chunks, with four fixed denoising steps per chunk.
23
+ A pipeline call returns the complete video.
24
+
25
+ [Project](https://vast-eden.ai/?p=edenlive) ·
26
+ [Code](https://github.com/VAST-AI-Research/EdenLive) ·
27
+ [Original checkpoints](https://huggingface.co/VAST-AI/EdenLive)
28
+
29
+ ## Installation
30
+
31
+ Install a CUDA-compatible version of PyTorch and torchvision, then install
32
+ Diffusers from the official repository and the required dependencies:
33
+
34
+ ```bash
35
+ pip install --upgrade "git+https://github.com/huggingface/diffusers.git"
36
+ pip install "transformers>=4.56.0" accelerate sentencepiece ftfy \
37
+ av imageio imageio-ffmpeg
38
+ ```
39
+
40
+ ## Quick start
41
+
42
+ Prepare a reference image and an RGB proxy video sampled at 24 fps.
43
+ The example uses the first 49 frames of the proxy video.
44
+
45
+ Replace the input paths and prompt with your own. Resample your video
46
+ before loading it if its frame rate differs from 24 fps.
47
+
48
+ ```python
49
+ import torch
50
+ from diffusers import EdenLiveCausalPipeline
51
+ from diffusers.utils import export_to_video, load_image, load_video
52
+
53
+ pipe = EdenLiveCausalPipeline.from_pretrained(
54
+ "VAST-AI/EdenLive-5B-Causal-Diffusers",
55
+ torch_dtype={
56
+ "default": torch.bfloat16,
57
+ "proxy_encoder": torch.float32,
58
+ },
59
+ )
60
+ pipe.enable_model_cpu_offload()
61
+
62
+ frames = pipe(
63
+ image=load_image("reference.png"),
64
+ video=load_video("proxy-24fps.mp4"),
65
+ prompt="A character explores a snowy landscape.",
66
+ height=704,
67
+ width=1280,
68
+ num_frames=49,
69
+ num_inference_steps=4,
70
+ guidance_scale=1.0,
71
+ generator=torch.Generator(device="cpu").manual_seed(42),
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+ ).frames[0]
73
+
74
+ export_to_video(frames, "edenlive-5b-causal.mp4", fps=24)
75
+ ```
76
+
77
+ ## Usage notes
78
+
79
+ - The pipeline requires a reference image and a proxy video in addition
80
+ to the text prompt.
81
+ - The output frame count must satisfy $N = 4k + 1$ and must not exceed
82
+ the number of input video frames. Here, $k$ is a nonnegative integer.
83
+ - Custom output height and width must be multiples of 32.
84
+ - Keep the proxy encoder in FP32 when loading the other components in BF16.
85
+ The transformer preserves its internal proxy projection in FP32.
86
+ - The example uses CPU offload to reduce GPU memory usage. If the model
87
+ fits in GPU memory, replace `pipe.enable_model_cpu_offload()` with
88
+ `pipe.to("cuda")`.
89
+ - The standard Wan VAE is used by default.
90
+ - To change the prompt between chunks, pass `chunk_prompts` with one prompt
91
+ per chunk instead of `prompt`. With the default chunk size, a 49-frame
92
+ video uses five prompts. Each pipeline call starts a new video.
93
+
94
+ ## License
95
+
96
+ EdenLive components use [Apache 2.0](LICENSE).
97
+ DINOv3 components are covered by the
98
+ [DINOv3 License](proxy_encoder/LICENSE.md).
99
+
100
+ ## Citation
101
+
102
+ ```bibtex
103
+ @misc{edenlive2026,
104
+ title = {EdenLive: Real-Time Generative Rendering from Any Visual Reference},
105
+ author = {Zehuan Huang and Tianxing Xu and Chunli Peng and Cheng Zhang and Zeyi Zheng and Yifei Song and Zekai Gu and Zhipeng Yu and Peng Wang and Yanpei Cao},
106
+ year = {2026},
107
+ url = {https://vast-eden.ai/?p=edenlive}
108
+ }
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+ ```
decoder/config.json ADDED
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+ {
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+ "_class_name": "EdenLiveLightTAEDecoder",
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+ "_diffusers_version": "0.41.0.dev0",
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+ "block_out_channels": [
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+ 256,
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+ 128,
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+ 64,
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+ 64
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+ ],
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+ "latent_channels": 48,
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+ "patch_size": 2
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+ }
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+ {
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+ "_class_name": "EdenLiveCausalPipeline",
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+ "transformer": [
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+ "diffusers",
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+ "EdenLiveTransformer3DModel"
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+ ],
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+ "vae": [
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+ "diffusers",
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+ "AutoencoderKLWan"
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+ ],
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+ "decoder": [
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+ null,
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+ null
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+ ],
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+ "text_encoder": [
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+ "transformers",
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+ "UMT5EncoderModel"
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+ ],
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+ "tokenizer": [
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+ "transformers",
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+ "T5Tokenizer"
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+ ],
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+ "proxy_encoder": [
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+ "transformers",
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+ "DINOv3ViTModel"
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+ ],
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+ "image_encoder": [
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+ null,
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+ null
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+ ],
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+ "image_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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+ "EdenLiveFlowMatchEulerDiscreteScheduler"
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+ ],
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+ "proxy_image_height": 480,
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+ "proxy_image_width": 832,
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+ "chunk_size": 3,
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+ "max_context_frames": 18,
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+ "sink_frames": 6
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+ }
proxy_encoder/LICENSE.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # DINOv3 License
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+
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+ *Last Updated: August 19, 2025*
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+
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+ **“Agreement”** means the terms and conditions for use, reproduction, distribution and modification of the DINO Materials set forth herein.
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+
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+ **“DINO Materials”** means, collectively, Documentation and the models, software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code, and other elements of the foregoing distributed by Meta and made available under this Agreement.
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+
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+ **“Documentation”** means the specifications, manuals and documentation accompanying
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+ DINO Materials distributed by Meta.
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+
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+ **“Licensee”** or **“you”** means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf.
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+
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+ **“Meta”** or **“we”** means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) or Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).
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+ **“Sanctions”** means any economic or trade sanctions or restrictions administered or enforced by the United States (including the Office of Foreign Assets Control of the U.S. Department of the Treasury (“OFAC”), the U.S. Department of State and the U.S. Department of Commerce), the United Nations, the European Union, or the United Kingdom.
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+ **“Trade Controls”** means any of the following: Sanctions and applicable export and import controls.
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+
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+ By clicking “I Accept” below or by using or distributing any portion or element of the DINO Materials, you agree to be bound by this Agreement.
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+
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+ ## 1. License Rights and Redistribution.
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+
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+ a. <ins>Grant of Rights</ins>. You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Meta’s intellectual property or other rights owned by Meta embodied in the DINO Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the DINO Materials.
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+
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+ b. <ins>Redistribution and Use</ins>.
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+
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+ i. Distribution of DINO Materials, and any derivative works thereof, are subject to the terms of this Agreement. If you distribute or make the DINO Materials, or any derivative works thereof, available to a third party, you may only do so under the terms of this Agreement and you shall provide a copy of this Agreement with any such DINO Materials.
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+
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+ ii. If you submit for publication the results of research you perform on, using, or otherwise in connection with DINO Materials, you must acknowledge the use of DINO Materials in your publication.
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+ iii. Your use of the DINO Materials must comply with applicable laws and regulations, including Trade Control Laws and applicable privacy and data protection laws.
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+ iv. Your use of the DINO Materials will not involve or encourage others to reverse engineer, decompile or discover the underlying components of the DINO Materials.
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+ v. You are not the target of Trade Controls and your use of DINO Materials must comply with Trade Controls. You agree not to use, or permit others to use, DINO Materials for any activities subject to the International Traffic in Arms Regulations (ITAR) or end uses prohibited by Trade Controls, including those related to military or warfare purposes, nuclear industries or applications, espionage, or the development or use of guns or illegal weapons.
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+
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+ ## 2. User Support.
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+ Your use of the DINO Materials is done at your own discretion; Meta does not process any information nor provide any service in relation to such use. Meta is under no obligation to provide any support services for the DINO Materials. Any support provided is “as is”, “with all faults”, and without warranty of any kind.
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+
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+ ## 3. Disclaimer of Warranty.
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+
44
+ UNLESS REQUIRED BY APPLICABLE LAW, THE DINO MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE DINO MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE DINO MATERIALS AND ANY OUTPUT AND RESULTS.
45
+
46
+ ## 4. Limitation of Liability.
47
+
48
+ IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY DIRECT OR INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.
49
+
50
+ ## 5. Intellectual Property.
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+
52
+ a. Subject to Meta’s ownership of DINO Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the DINO Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications.
53
+
54
+ b. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the DINO Materials, outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the DINO Materials.
55
+
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+ ## 6. Term and Termination.
57
+
58
+ The term of this Agreement will commence upon your acceptance of this Agreement or access to the DINO Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the DINO Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.
59
+
60
+ ## 7. Governing Law and Jurisdiction.
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+
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+ This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement.
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+
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+ ## 8. Modifications and Amendments.
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+
66
+ Meta may modify this Agreement from time to time; provided that they are similar in spirit to the current version of the Agreement, but may differ in detail to address new problems or concerns. All such changes will be effective immediately. Your continued use of the DINO Materials after any modification to this Agreement constitutes your agreement to such modification. Except as provided in this Agreement, no modification or addition to any provision of this Agreement will be binding unless it is in writing and signed by an authorized representative of both you and Meta.
proxy_encoder/NOTICE.md ADDED
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+ # Converted checkpoint layout
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+
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+ The paths in the original notice below refer to the DINOv3 backbone and
4
+ projection. In this Diffusers checkpoint, those files are located at:
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+
6
+ - `proxy_encoder/model.safetensors` (original `backbone/`)
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+ - `transformer/diffusion_pytorch_model-proxy-projection.safetensors`
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+ (original `projection.safetensors`)
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+
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+ The original notice is retained below.
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+
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+ # NOTICE — vision-encoder
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+
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+ The weights in this directory (`backbone/` and `projection.safetensors`) are DINOv3 by
15
+ Meta Platforms, Inc. or derivative works of it made by Vast AI. They are distributed under
16
+ the DINOv3 License (see `LICENSE.md` here and in `backbone/`), not under the Apache 2.0
17
+ license that covers the rest of this repository. Use must comply with that license,
18
+ including its trade-control and prohibited-use terms. Research publications that use these
19
+ weights must acknowledge the use of DINOv3.
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transformer/LICENSE.md ADDED
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1
+ # DINOv3 License
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+
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+ *Last Updated: August 19, 2025*
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+
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+ **“Agreement”** means the terms and conditions for use, reproduction, distribution and modification of the DINO Materials set forth herein.
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+
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+ **“DINO Materials”** means, collectively, Documentation and the models, software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code, and other elements of the foregoing distributed by Meta and made available under this Agreement.
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+
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+ **“Documentation”** means the specifications, manuals and documentation accompanying
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+ DINO Materials distributed by Meta.
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+ **“Licensee”** or **“you”** means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf.
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+
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+ **“Meta”** or **“we”** means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) or Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).
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+ **“Sanctions”** means any economic or trade sanctions or restrictions administered or enforced by the United States (including the Office of Foreign Assets Control of the U.S. Department of the Treasury (“OFAC”), the U.S. Department of State and the U.S. Department of Commerce), the United Nations, the European Union, or the United Kingdom.
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+ By clicking “I Accept” below or by using or distributing any portion or element of the DINO Materials, you agree to be bound by this Agreement.
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+ b. <ins>Redistribution and Use</ins>.
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+ i. Distribution of DINO Materials, and any derivative works thereof, are subject to the terms of this Agreement. If you distribute or make the DINO Materials, or any derivative works thereof, available to a third party, you may only do so under the terms of this Agreement and you shall provide a copy of this Agreement with any such DINO Materials.
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+ ## 7. Governing Law and Jurisdiction.
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+ Meta may modify this Agreement from time to time; provided that they are similar in spirit to the current version of the Agreement, but may differ in detail to address new problems or concerns. All such changes will be effective immediately. Your continued use of the DINO Materials after any modification to this Agreement constitutes your agreement to such modification. Except as provided in this Agreement, no modification or addition to any provision of this Agreement will be binding unless it is in writing and signed by an authorized representative of both you and Meta.
transformer/NOTICE.md ADDED
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1
+ # Converted checkpoint layout
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+
3
+ The paths in the original notice below refer to the DINOv3 backbone and
4
+ projection. In this Diffusers checkpoint, those files are located at:
5
+
6
+ - `proxy_encoder/model.safetensors` (original `backbone/`)
7
+ - `transformer/diffusion_pytorch_model-proxy-projection.safetensors`
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+ (original `projection.safetensors`)
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+
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+ The original notice is retained below.
11
+
12
+ # NOTICE — vision-encoder
13
+
14
+ The weights in this directory (`backbone/` and `projection.safetensors`) are DINOv3 by
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+ Meta Platforms, Inc. or derivative works of it made by Vast AI. They are distributed under
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+ the DINOv3 License (see `LICENSE.md` here and in `backbone/`), not under the Apache 2.0
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+ license that covers the rest of this repository. Use must comply with that license,
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+ including its trade-control and prohibited-use terms. Research publications that use these
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+ weights must acknowledge the use of DINOv3.
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+ "in_channels": 48,
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+ "num_attention_heads": 24,
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+ "num_layers": 30,
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+ "out_channels": 48,
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+ "patch_size": [
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+ 1,
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+ 2,
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+ 2
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+ ],
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+ "proxy_channels": 1024,
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+ "qk_norm": "rms_norm_across_heads",
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+ "rope_max_seq_len": 1024,
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+ "text_dim": 4096,
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+ "proxy_input_channels": 1024
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+ }
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