From 5abc4d1b09abd801c20729f0e616f4376c65c4ec Mon Sep 17 00:00:00 2001 From: Cherrytest Date: Thu, 16 Oct 2025 01:34:34 +0000 Subject: [PATCH] Upload folder using ModelScope SDK --- .gitattributes | 8 + README.md | 270 +++++++++++++++++--- config.json | 0 configuration.json | 1 + ema_vae_fp16.safetensors | 3 + seedvr2_ema_3b_fp16.safetensors | 3 + seedvr2_ema_3b_fp8_e4m3fn.safetensors | 3 + seedvr2_ema_7b_fp16.safetensors | 3 + seedvr2_ema_7b_fp8_e4m3fn.safetensors | 3 + seedvr2_ema_7b_sharp_fp16.safetensors | 3 + seedvr2_ema_7b_sharp_fp8_e4m3fn.safetensors | 3 + 11 files changed, 258 insertions(+), 42 deletions(-) create mode 100644 config.json create mode 100644 configuration.json create mode 100644 ema_vae_fp16.safetensors create mode 100644 seedvr2_ema_3b_fp16.safetensors create mode 100644 seedvr2_ema_3b_fp8_e4m3fn.safetensors create mode 100644 seedvr2_ema_7b_fp16.safetensors create mode 100644 seedvr2_ema_7b_fp8_e4m3fn.safetensors create mode 100644 seedvr2_ema_7b_sharp_fp16.safetensors create mode 100644 seedvr2_ema_7b_sharp_fp8_e4m3fn.safetensors diff --git a/.gitattributes b/.gitattributes index 15ba2c6..187f4ea 100644 --- a/.gitattributes +++ b/.gitattributes @@ -45,3 +45,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.wasm filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text + +seedvr2_ema_3b_fp8_e4m3fn.safetensors filter=lfs diff=lfs merge=lfs -text +seedvr2_ema_7b_fp8_e4m3fn.safetensors filter=lfs diff=lfs merge=lfs -text +seedvr2_ema_7b_sharp_fp8_e4m3fn.safetensors filter=lfs diff=lfs merge=lfs -text +seedvr2_ema_3b_fp16.safetensors filter=lfs diff=lfs merge=lfs -text +seedvr2_ema_7b_fp16.safetensors filter=lfs diff=lfs merge=lfs -text +seedvr2_ema_7b_sharp_fp16.safetensors filter=lfs diff=lfs merge=lfs -text +ema_vae_fp16.safetensors filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md index 08c1b61..23dcfe0 100644 --- a/README.md +++ b/README.md @@ -1,48 +1,234 @@ --- -license: Apache License 2.0 -tags: [] - -#model-type: -##如 gpt、phi、llama、chatglm、baichuan 等 -#- gpt - -#domain: -##如 nlp、cv、audio、multi-modal -#- nlp - -#language: -##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa -#- cn - -#metrics: -##如 CIDEr、Blue、ROUGE 等 -#- CIDEr - -#tags: -##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他 -#- pretrained - -#tools: -##如 vllm、fastchat、llamacpp、AdaSeq 等 -#- vllm +license: apache-2.0 +pipeline_tag: video-to-video +library_name: diffusers +tags: +- art +base_model: +- ByteDance-Seed/SeedVR2-7B +- ByteDance-Seed/SeedVR2-3B --- -### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。 -#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型 -SDK下载 +# ComfyUI-SeedVR2_VideoUpscaler + +[![View Code](https://img.shields.io/badge/📂_View_Code-GitHub-181717?style=for-the-badge&logo=github)](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler) + +Official release of [SeedVR2](https://github.com/ByteDance-Seed/SeedVR) for ComfyUI that enables Upscale Video/Images generation. + + + + + + +## 📋 Quick Access + +- [🆙 Note and futur releases](#-note-and-futur-releases) +- [🚀 Updates](#-updates) +- [🎯 Features](#-features) +- [🔧 Requirements](#-requirements) +- [📦 Installation](#-installation) +- [📖 Usage](#-usage) +- [📊 Benchmarks](#-benchmarks) +- [⚠️ Limitations](#-Limitations) +- [🤝 Contributing](#-contributing) +- [🙏 Credits](#-credits) +- [📄 License](#-license) + +## 🆙 Note and futur releases + +- Improve FP8 integration, we are loosing some FP8 advantages during the process. +- Tile-VAE integration if it works for video, I have test to do or if some dev want help, you are welcome. +- 7B FP8 model seems to have quality issues, use 7BFP16 instead (If FP8 don't give OOM then FP16 will works) I have to review this. + +## 🚀 Updates + +**2025.06.30** + +- 🚀 Speed Up the process and less VRAM used (see new benchmark). +- 🛠️ Fixed leak memory on 3B models. +- ❌ Can now interrupt process if needed. +- ✅ refactored the code for better sharing with the community, feel free to propose pull requests. +- 🛠️ Removed flash attention dependency + +**2025.06.24** + +- 🚀 Speed up the process until x4 (see new benchmark) + +**2025.06.22** + +- 💪 FP8 compatibility ! +- 🚀 Speed Up all Process +- 🚀 less VRAM consumption (Stay high, batch_size=1 for RTX4090 max, I'm trying to fix that) +- 🛠️ Better benchmark coming soon + +**2025.06.20** + +- 🛠️ Initial push + +## 🎯 Features + +- High-quality Upscaling +- Suitable for any video length once the right settings are found +- Model Will Be Download Automatically from [Models](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main) + +## 🔧 Requirements + +- A Huge VRAM capabilities is better, from my test, even the 3B version need a lot of VRAM at least 18GB. +- Last ComfyUI version with python 3.12.9 (may be works with older versions but I haven't test it) + +## 📦 Installation + +1. Clone this repository into your ComfyUI custom nodes directory: + ```bash -#安装ModelScope -pip install modelscope -``` -```python -#SDK模型下载 -from modelscope import snapshot_download -model_dir = snapshot_download('numz/SeedVR2_comfyUI') -``` -Git下载 -``` -#Git模型下载 -git clone https://www.modelscope.cn/numz/SeedVR2_comfyUI.git +cd ComfyUI/custom_nodes +git clone https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler.git ``` -

如果您是本模型的贡献者，我们邀请您根据模型贡献文档，及时完善模型卡片内容。

\ No newline at end of file +2. Install the required dependencies: + +load venv and : + +```bash +pip install -r ComfyUI-SeedVR2_VideoUpscaler/requirements.txt +``` + +install flash_attn/triton, 6% faster on process, not a mandatory. + +```bash +pip install flash_attn +pip install triton +``` + +or + +```bash +python_embeded\python.exe -m pip install -r flash_attn +``` + +check here from https://github.com/loscrossos/lib_flashattention/releases and https://github.com/woct0rdho/triton-windows + +3. Models + + Will be automtically download into : + `models/SEEDVR2` + + or can be found here ([MODELS](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main)) + +## 📖 Usage + +1. In ComfyUI, locate the **SeedVR2 Video Upscaler** node in the node menu. + + + +2. ⚠️ **THINGS TO KNOW !!** + +**temporal consistency** : at least a **batch_size** of 5 is required to activate temporal consistency. SEEDVR2 need at least 5 frames to calculate it. A higher batch_size give better performances/results but need more than 24GB VRAM. + +**VRAM usage** : The input video resolution impacts VRAM consumption during the process. The larger the input video, the more VRAM will consume during the process. So, if you experience OOMs with a batch_size of at least 5, try reducing the input video resolution until it resolves. + +Of course, the output resolution also has an impact, so if your hardware doesn't allow it, reduce the output resolution. + +3. Configure the node parameters: + + - `model`: Select your 3B or 7B model + - `seed`: a seed but it generate another seed from this one + - `new_resolution`: New desired short edge in px, will keep ratio on other edge + - `batch_size`: VERY IMPORTANT!, this model consume a lot of VRAM, All your VRAM, even for the 3B model, so for GPU under 24GB VRAM keep this value Low, good value is "1" without temporal consistency, "5" for temporal consistency, but higher is this value better is the result. + - `preserve_vram`: for VRAM < 24GB, If true, It will unload unused models during process, longer but works, otherwise probably OOM with + +## 📊 Benchmarks + +**7B models on NVIDIA H100 93GB VRAM** (values in parentheses are from the previous benchmark): + +| nb frames | Resolution | Batch Size | execution time fp8 (s) | FPS fp8 | execution time fp16 (s) | FPS fp16 | perf progress since start | +| --------- | ------------------- | ---------- | ---------------------- | ----------- | ----------------------- | ------------------ | ------------------------- | +| 15 | 512×768 → 1080×1620 | 5 | 23.75 (26.71) | 0.63 (0.56) | 24.23 (27.75) | 0.61 (0.54) (0.10) | x6.1 | +| 27 | 512×768 → 1080×1620 | 9 | 27.75 (33.97) | 0.97 (0.79) | 28.48 (35.08) | 0.94 (0.77) (0.15) | x6.2 | +| 39 | 512×768 → 1080×1620 | 13 | 32.02 (41.01) | 1.21 (0.95) | 32.62 (42.08) | 1.19 (0.93) (0.19) | x6.2 | +| 51 | 512×768 → 1080×1620 | 17 | 36.39 (48.12) | 1.40 (1.06) | 37.30 (49.44) | 1.36 (1.03) (0.21) | x6.4 | +| 63 | 512×768 → 1080×1620 | 21 | 40.80 (55.40) | 1.54 (1.14) | 41.32 (56.70) | 1.52 (1.11) (0.23) | x6.6 | +| 75 | 512×768 → 1080×1620 | 25 | 45.37 (62.60) | 1.65 (1.20) | 45.79 (63.80) | 1.63 (1.18) (0.24) | x6.8 | +| 123 | 512×768 → 1080×1620 | 41 | 62.44 (91.38) | 1.96 (1.35) | 62.28 (92.90) | 1.97 (1.32) (0.28) | x7.0 | +| 243 | 512×768 → 1080×1620 | 81 | 106.13 (164.25) | 2.28 (1.48) | 104.68 (166.09) | 2.32 (1.46) (0.31) | x7.4 | +| 363 | 512×768 → 1080×1620 | 121 | 151.01 (238.18) | 2.40 (1.52) | 148.67 (239.80) | 2.44 (1.51) (0.33) | x7.4 | +| 453 | 512×768 → 1080×1620 | 151 | 186.98 (296.52) | 2.42 (1.53) | 184.11 (298.65) | 2.46 (1.52) (0.33) | x7.4 | +| 633 | 512×768 → 1080×1620 | 211 | 253.77 (406.65) | 2.49 (1.56) | 249.43 (409.44) | 2.53 (1.55) (0.34) | x7.4 | +| 903 | 512×768 → 1080×1620 | 301 | OOM (OOM) | (OOM) | OOM (OOM) | (OOM) (OOM) | | +| 149 | 854x480 → 1920x1080 | 149 | | | 450.22 | 0.41 | | + +**3B FP8 models on NVIDIA H100 93GB VRAM** (values in parentheses are from the previous benchmark): + +| nb frames | Resolution | Batch Size | execution time fp8 (s) | FPS fp8 | execution time fp16 (s) | FPS fp16 | +| --------- | ------------------- | ---------- | ---------------------- | ------- | ----------------------- | -------- | +| 149 | 854x480 → 1920x1080 | 149 | 361.22 | 0.41 | | | + +**NVIDIA RTX4090 24GB VRAM** + +| Model | nb frames | Resolution | Batch Size | execution time (seconds) | FPS | Note | +| ------- | --------- | ------------------- | ---------- | ------------------------ | ----------- | ---------------------------------------- | +| 3B fp8 | 5 | 512x768 → 1080x1620 | 1 | 14.66 (22.52) | 0.34 (0.22) | | +| 3B fp16 | 5 | 512x768 → 1080x1620 | 1 | 17.02 (27.84) | 0.29 (0.18) | | +| 7B fp8 | 5 | 512x768 → 1080x1620 | 1 | 46.23 (75.51) | 0.11 (0.07) | preserve_memory=on | +| 7B fp16 | 5 | 512x768 → 1080x1620 | 1 | 43.58 (78.93) | 0.11 (0.06) | preserve_memory=on | +| 3B fp8 | 10 | 512x768 → 1080x1620 | 5 | 39.75 | 0.25 | preserve_memory=on | +| 3B fp8 | 100 | 512x768 → 1080x1620 | 5 | 322.77 | 0.31 | preserve_memory=on | +| 3B fp8 | 1000 | 512x768 → 1080x1620 | 5 | 3624.08 | 0.28 | preserve_memory=on | +| 3B fp8 | 20 | 512x768 → 1080x1620 | 1 | 40.71 (65.40) | 0.49 (0.31) | | +| 3B fp16 | 20 | 512x768 → 1080x1620 | 1 | 44.76 (91.12) | 0.45 (0.22) | | +| 3B fp8 | 20 | 512x768 → 1280x1920 | 1 | 61.14 (89.10) | 0.33 (0.22) | | +| 3B fp8 | 20 | 512x768 → 1480x2220 | 1 | 79.66 (136.08) | 0.25 (0.15) | | +| 3B fp8 | 20 | 512x768 → 1620x2430 | 1 | 125.79 (191.28) | 0.16 (0.10) | preserve_memory=off (preserve_memory=on) | +| 3B fp8 | 149 | 854x480 → 1920x1080 | 5 | 782.76 | 0.19 | preserve_memory=on | + +## ⚠️ Limitations + +- Use a lot of VRAM, it will take all!! +- Processing speed depends on GPU capabilities + +## 🤝 Contributing + +Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change. + +Please make sure to update tests as appropriate. + +### How to contribute: + +1. Fork the repository +2. Create your feature branch (`git checkout -b feature/AmazingFeature`) +3. Commit your changes (`git commit -m 'Add some AmazingFeature'`) +4. Push to the branch (`git push origin feature/AmazingFeature`) +5. Open a Pull Request + +### Development Setup: + +1. Clone the repository +2. Install dependencies +3. Make your changes +4. Test your changes +5. Submit a pull request + +### Code Style: + +- Follow the existing code style +- Add comments for complex logic +- Update documentation if needed +- Ensure all tests pass + +### Reporting Issues: + +When reporting issues, please include: + +- Your system specifications +- ComfyUI version +- Python version +- Error messages +- Steps to reproduce the issue + +## 🙏 Credits + +- Original [SeedVR2](https://github.com/ByteDance-Seed/SeedVR) implementation + +# 📜 License + +- The code in this repository is released under the MIT license as found in the [LICENSE file](LICENSE). \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..e69de29 diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..fbca2a7 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "video-to-video", "allow_remote": true} \ No newline at end of file diff --git a/ema_vae_fp16.safetensors b/ema_vae_fp16.safetensors new file mode 100644 index 0000000..289fac8 --- /dev/null +++ b/ema_vae_fp16.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20678548f420d98d26f11442d3528f8b8c94e57ee046ef93dbb7633da8612ca1 +size 501324814 diff --git a/seedvr2_ema_3b_fp16.safetensors b/seedvr2_ema_3b_fp16.safetensors new file mode 100644 index 0000000..cffc5df --- /dev/null +++ b/seedvr2_ema_3b_fp16.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2fd0e03a3dad24e07086750360727ca437de4ecd456f769856e960ae93e2b304 +size 6783018808 diff --git a/seedvr2_ema_3b_fp8_e4m3fn.safetensors b/seedvr2_ema_3b_fp8_e4m3fn.safetensors new file mode 100644 index 0000000..98295dd --- /dev/null +++ b/seedvr2_ema_3b_fp8_e4m3fn.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3bf1e43ebedd570e7e7a0b1b60d6a02e105978f505c8128a241cde99a8240cff +size 3391544696 diff --git a/seedvr2_ema_7b_fp16.safetensors b/seedvr2_ema_7b_fp16.safetensors new file mode 100644 index 0000000..1867a2d --- /dev/null +++ b/seedvr2_ema_7b_fp16.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7b8241aa957606ab6cfb66edabc96d43234f9819c5392b44d2492d9f0b0bbe4a +size 16479334424 diff --git a/seedvr2_ema_7b_fp8_e4m3fn.safetensors b/seedvr2_ema_7b_fp8_e4m3fn.safetensors new file mode 100644 index 0000000..5f1d4fd --- /dev/null +++ b/seedvr2_ema_7b_fp8_e4m3fn.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1fdbf3877b7d1eb266038d3a165a977f17dbb4daa4a0f0d334d5461476963037 +size 8239729704 diff --git a/seedvr2_ema_7b_sharp_fp16.safetensors b/seedvr2_ema_7b_sharp_fp16.safetensors new file mode 100644 index 0000000..ff1aa64 --- /dev/null +++ b/seedvr2_ema_7b_sharp_fp16.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20a93e01ff24beaeebc5de4e4e5be924359606c356c9c51509fba245bd2d77dd +size 16479334424 diff --git a/seedvr2_ema_7b_sharp_fp8_e4m3fn.safetensors b/seedvr2_ema_7b_sharp_fp8_e4m3fn.safetensors new file mode 100644 index 0000000..df1eda4 --- /dev/null +++ b/seedvr2_ema_7b_sharp_fp8_e4m3fn.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4261d18fd9c331f4c8f14b475c9148bd8c3f1512240ace55fe31a179e0a960b0 +size 8239729704