Refresh MiniMax H3 Seamless Chain v2.6.0

models/minimax/minimax-h3-seamless-chain-v2/README.md

@@ -1,10 +1,11 @@
-# MiniMax H3 Seamless Chain v2
+# MiniMax H3 Seamless Chain v2.6.0
 
 ## Summary
 
 Same-day `MiniMax-H3` multishot workflow from `joeygambino`. This is the full
 graph, not the CORE cut-down version: it adds the LLM prompt lane, remote text
-encoder support, raw-latent continuity, and the speed/VRAM helper switches.
+encoder support, raw-latent continuity, the extend-take path, and the
+speed/VRAM helper switches.
 
 ## Model Family
 
@@ -19,7 +20,7 @@ encoder support, raw-latent continuity, and the speed/VRAM helper switches.
 - Workflow pack page: <https://huggingface.co/joeygambino/MiniMax-H3-Multishot-Workflow>
 - Workflow file: <https://huggingface.co/joeygambino/MiniMax-H3-Multishot-Workflow/resolve/main/workflows/H3_Seamless_Chain_v2.json?download=true>
 - Original publisher: `joeygambino`
-- Date imported: `2026-08-16`
+- Date imported: `2026-08-17`
 
 ## Developer notes
 
@@ -27,6 +28,9 @@ encoder support, raw-latent continuity, and the speed/VRAM helper switches.
   block cache, custom scripts, and GGUF support on top of the base H3 pack.
 - The workflow is built around the `ComfyUI-H3-Multishot` node pack and the
   same MiniMax-H3 weight family used by the CORE workflow.
+- The current upstream release is v2.6.0 and adds the long-chain audio drift
+  fix, `audio_tone_control=flatten`, `take_seconds`, `audio_pin_frames`, and
+  the `H3_Extend_Take` workflow.
 - The prompt-writer lane expects a `qwen3:14b`-class local or remote
   OpenAI-compatible endpoint if you keep it enabled.
 
@@ -36,6 +40,8 @@ encoder support, raw-latent continuity, and the speed/VRAM helper switches.
   feature set and are willing to pay for it in complexity.
 - On an `RTX 3070 8 GB`, this is a heavy workflow, but the memory and remote
   encoder options are the kind of practical extras that make it worth keeping.
+- The v2.6.0 audio fixes make this the strongest MiniMax H3 roundup item
+  today.
 - If you want the simpler starting point, the CORE workflow is still the
   cleaner local baseline.