<div data-youtube-video="https://youtu.be/R3W2ab1_TzY"><iframe src="https://www.youtube.com/embed/R3W2ab1_TzY" width="853" height="480" allowfullscreen></iframe></div> 
 
RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2109158665021374465?inviteCode=rh-v1111Bilibili tutorial video: https://www.bilibili.com/video/BV1vFYz6HECU/# OpenVDN — 768P-labelled preset## Purpose and preparationResolve the matching custom-node/runtime versions and assets. Load authorized media and inspect active inputs, actual schedules, effective dimensions and every save destination before a small test.Only the main example is enabled; two complete additional examples and their saves are bypassed. Main image 15 connects first_frame and image 56 last_frame, not generic reference-image sockets. In the larger-output variants, prompt prose says references rather than first/last frames, but actual wiring takes precedence. Inspect intended roles without assuming endpoint fidelity.The composer selects OpenVDN/vdn-minimax-h3 and stage_dmd_8nfe, with verify_hashes=false and allow_structural_base=true. Its execution plan supplies model/sampler/sigmas; no explicit numeric sigma array is serialized and the report is unused. DMD8 labels do not prove executed NFE. JSON integrity checks are not model-weight hash verification.The conditioner stores 1344×768 and124 frames without external size/time links, with AUTO/native settings. CreateVideo stores 24fps/8-bit. If124 frames are produced, nominal duration is about 5.167 seconds, not an observed file length. Output audio is decoded generated audio, not source passthrough.No SeedVR2 or fixed-raster resize tail is present. Do not borrow a larger variant's processing chain. Bypassed4K-looking save prefixes do not change this.Interpolation requests 2x,motion auto,threshold0.24,keep_audio on. This is temporal, not spatial scaling. For generation presets,24→48fps is configured intent, not measured cadence/frame count/duration. Combined VIDEO and explicit images/audio are connected; precedence requires implementation review. VIDEO output feeds SaveVideo with auto format/codec.## Files and selected assets- [Workflow JSON]()- [Selected cover]()- `qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors`- `minimax_h3_hybrid_fl2va_ref2va_b25-49-int8.safetensors`- `minimax_h3_video_vae_int8_convrot.safetensors`- `minimax_h3_audio_vae_fp32.safetensors`## Version, evidence and rightsThis is a local descriptive draft, not a published upgrade. Files01–08 are byte-identical to originals; only the standalone ninth file's historical video-preview field is cleared in its new copy. Originals remain unchanged.No model inference, visual/audio acceptance, wall-clock benchmark or license verification was performed. Covers are selected assets, not accepted render evidence. Weights and external input media are not bundled. Check workflow, nodes, models, LoRAs, source media and cover rights separately; no blanket commercial license is asserted.[Source-provided tutorial](https://www.youtube.com/watch?v=R3W2ab1_TzY) · [Source-provided workflow entry](https://www.runninghub.cn/post/2099156575138177025/?inviteCode=rh-v1111)Links are not live-verified. The workflow is supplied through AI-KSK.

MiniMax H3 OpenVDN DMD8 Universal Video Generation 768P

<div data-youtube-video="https://youtu.be/R3W2ab1_TzY"></div> 
 
RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2109158665021374465?inviteCode=rh-v1111Bilibili tutorial video: https://www.bilibili.com/video/BV1vFYz6HECU/# OpenVDN — 768P-labelled preset## Purpose and preparationResolve the matching custom-node/runtime versions and assets. Load authorized media and inspect active inputs, actual schedules, effective dimensions and every save destination before a small test.Only the main example is enabled; two complete additional examples and their saves are bypassed. Main image 15 connects first_frame and image 56 last_frame, not generic reference-image sockets. In the larger-output variants, prompt prose says references rather than first/last frames, but actual wiring takes precedence. Inspect intended roles without assuming endpoint fidelity.The composer selects OpenVDN/vdn-minimax-h3 and stage_dmd_8nfe, with verify_hashes=false and allow_structural_base=true. Its execution plan supplies model/sampler/sigmas; no explicit numeric sigma array is serialized and the report is unused. DMD8 labels do not prove executed NFE. JSON integrity checks are not model-weight hash verification.The conditioner stores 1344×768 and124 frames without external size/time links, with AUTO/native settings. CreateVideo stores 24fps/8-bit. If124 frames are produced, nominal duration is about 5.167 seconds, not an observed file length. Output audio is decoded generated audio, not source passthrough.No SeedVR2 or fixed-raster resize tail is present. Do not borrow a larger variant's processing chain. Bypassed4K-looking save prefixes do not change this.Interpolation requests 2x,motion auto,threshold0.24,keep_audio on. This is temporal, not spatial scaling. For generation presets,24→48fps is configured intent, not measured cadence/frame count/duration. Combined VIDEO and explicit images/audio are connected; precedence requires implementation review. VIDEO output feeds SaveVideo with auto format/codec.## Files and selected assets- [Workflow JSON]()- [Selected cover]()- `qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors`- `minimax_h3_hybrid_fl2va_ref2va_b25-49-int8.safetensors`- `minimax_h3_video_vae_int8_convrot.safetensors`- `minimax_h3_audio_vae_fp32.safetensors`## Version, evidence and rightsThis is a local descriptive draft, not a published upgrade. Files01–08 are byte-identical to originals; only the standalone ninth file's historical video-preview field is cleared in its new copy. Originals remain unchanged.No model inference, visual/audio acceptance, wall-clock benchmark or license verification was performed. Covers are selected assets, not accepted render evidence. Weights and external input media are not bundled. Check workflow, nodes, models, LoRAs, source media and cover rights separately; no blanket commercial license is asserted.[Source-provided tutorial](https://www.youtube.com/watch?v=R3W2ab1_TzY) · [Source-provided workflow entry](https://www.runninghub.cn/post/2099156575138177025/?inviteCode=rh-v1111)Links are not live-verified. The workflow is supplied through AI-KSK.

minimaxH3OpenvdnDMD8_v10.json

v1.0

<div data-youtube-video="https://youtu.be/R3W2ab1_TzY"><iframe src="https://www.youtube.com/embed/R3W2ab1_TzY" width="853" height="480" allowfullscreen></iframe></div> 
 
AI-KSK ComfyUI workflow: MiniMax H3 OpenVDN DMD8 768P. Distilled DMD8 sampling path pinned through the OpenVDN vdn-minimax-h3 composer for fast, stable general video generation. 
 
Main features: 
- MiniMax H3 hybrid FL2VA/Ref2VA INT8 UNET with Qwen3-VL 32B text encoder, video and audio VAEs for native audio generation. 
- Pinned OpenVDN vdn-minimax-h3 branch with the stage_dmd_8nfe distilled sampling stage, so the chain runs a fixed 8-step path without manual tuning. 
- General (prompt-only) video generation at 768P with native audio, no post upscaling. 
- DLSS 2x frame interpolation on the final output (24 to 48 FPS). 
- Choose this tier when you want the OpenVDN distilled pipeline as a fast baseline for the same prompt set used across the pack. 
 
Suggested workflow: 
1. Import the JSON into ComfyUI and install the model files and custom nodes referenced by the workflow. 
2. Provide the required text, image, or video inputs for the selected path. 
3. Adjust resolution, steps, denoise, and prompt controls, then run the connected SaveVideo output. 
 
 
RunningHub workflow: 
https://www.runninghub.ai/zh-cn/post/2099158665021374465?inviteCode=rh-v1111 
 
AI-KSK RunningHub workflow hub: 
https://www.runninghub.ai/user-center/1892566146468511746?inviteCode=rh-v1111 
 
Bilibili tutorial: 
https://www.bilibili.com/video/BV1vFYz6HECU/ 
 
RunningHub registration and AI tools: 
https://www.runninghub.ai/?inviteCode=rh-v1111 
https://www.runninghub.ai/ai-generator/2046514150500524034?inviteCode=rh-v1111 
https://www.runninghub.ai/vip-rights/3?inviteCode=rh-v1111 
https://rhtv.runninghub.ai/projects?inviteCode=rh-v1111 
 
Stable global access: 
https://lelians.com/#/register?code=mFIJ5tZn 
 
TokenRhythm AI model credits: 
https://tokenrhythm.studio/i/rf_tr_kM6wekDquDDZQD4PUNmgiuHA 
 
Youyun Cloud GPU: 
https://passport.compshare.cn/register?referral_code=A7fTQUYY9lCDFJwA6MMvoq 
https://www.notion.so/2b72459a3ac6808f8282f2c687ed8f52 
 
RunPod Cloud GPU: 
https://runpod.io/?ref=sxk5n5m7 
 
Support AI-KSK: 
https://ko-fi.com/aiksk

MiniMax H3 OpenVDN DMD8 768P

<div data-youtube-video="https://youtu.be/R3W2ab1_TzY"></div> 
 
AI-KSK ComfyUI workflow: MiniMax H3 OpenVDN DMD8 768P. Distilled DMD8 sampling path pinned through the OpenVDN vdn-minimax-h3 composer for fast, stable general video generation. 
 
Main features: 
- MiniMax H3 hybrid FL2VA/Ref2VA INT8 UNET with Qwen3-VL 32B text encoder, video and audio VAEs for native audio generation. 
- Pinned OpenVDN vdn-minimax-h3 branch with the stage_dmd_8nfe distilled sampling stage, so the chain runs a fixed 8-step path without manual tuning. 
- General (prompt-only) video generation at 768P with native audio, no post upscaling. 
- DLSS 2x frame interpolation on the final output (24 to 48 FPS). 
- Choose this tier when you want the OpenVDN distilled pipeline as a fast baseline for the same prompt set used across the pack. 
 
Suggested workflow: 
1. Import the JSON into ComfyUI and install the model files and custom nodes referenced by the workflow. 
2. Provide the required text, image, or video inputs for the selected path. 
3. Adjust resolution, steps, denoise, and prompt controls, then run the connected SaveVideo output. 
 
 
RunningHub workflow: 
https://www.runninghub.ai/zh-cn/post/2099158665021374465?inviteCode=rh-v1111 
 
AI-KSK RunningHub workflow hub: 
https://www.runninghub.ai/user-center/1892566146468511746?inviteCode=rh-v1111 
 
Bilibili tutorial: 
https://www.bilibili.com/video/BV1vFYz6HECU/ 
 
RunningHub registration and AI tools: 
https://www.runninghub.ai/?inviteCode=rh-v1111 
https://www.runninghub.ai/ai-generator/2046514150500524034?inviteCode=rh-v1111 
https://www.runninghub.ai/vip-rights/3?inviteCode=rh-v1111 
https://rhtv.runninghub.ai/projects?inviteCode=rh-v1111 
 
Stable global access: 
https://lelians.com/#/register?code=mFIJ5tZn 
 
TokenRhythm AI model credits: 
https://tokenrhythm.studio/i/rf_tr_kM6wekDquDDZQD4PUNmgiuHA 
 
Youyun Cloud GPU: 
https://passport.compshare.cn/register?referral_code=A7fTQUYY9lCDFJwA6MMvoq 
https://www.notion.so/2b72459a3ac6808f8282f2c687ed8f52 
 
RunPod Cloud GPU: 
https://runpod.io/?ref=sxk5n5m7 
 
Support AI-KSK: 
https://ko-fi.com/aiksk

Files with SHA256: 52ded7f3ae97cd4456b86b3976d48e3fa32e97b211d291281d1d56d5b67e01f6