diff --git a/models/minimax/minimax-h3-plaguekind-v2/README.md b/models/minimax/minimax-h3-plaguekind-v2/README.md
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+# MiniMax H3 PlagueKind V2
+
+## Summary
+
+`MiniMax H3` workflow focused on ease of use, int8 convrot pieces, and a lower-memory path for local testing.
+
+## Model Family
+
+- `minimax`
+
+## Status
+
+- `imported-only`
+
+## Source
+
+- Model page: <https://huggingface.co/Plaguekind/MiniMax-H3>
+- Workflow file: <https://huggingface.co/Plaguekind/MiniMax-H3/resolve/main/PlagueKind-MinimaxH3-V2.json>
+- Original publisher: `Plaguekind`
+- Date imported: `2026-08-09`
+
+## Developer notes
+
+- The model card says V2 adds an int8 convrot video VAE, memory chunks, and a Kijai resized turbo LoRA.
+- The author notes the workflow was already near the cap for `16 GB` VRAM, so this is not a tiny setup.
+- It requires several community custom node packs rather than only stock ComfyUI.
+
+## Our notes
+
+- This is one of the more serious MiniMax releases of the day because it is clearly trying to make H3 easier to run, not just more flashy.
+- On an `RTX 3070 / 8 GB`, it still looks heavy, but the memory-saving tricks make it worth keeping on the radar.
+- If MiniMax starts feeling close to practical, this is a stronger watch item than the generic wrappers.
+
+## Required custom nodes
+
+- `ComfyUI-PlagueKind-Nodes`
+- `ComfyUI-KJNodes`
+- `rgthree-comfy`
+- `Nvidia_RTX_Nodes_ComfyUI`
+- `ComfyUI-VideoHelperSuite`
+- `SageAttention`
+
+## Required models
+
+- `Comfy-Org/MiniMax-H3`
+- `Kijai/MiniMax-H3-experimental`
+- `Comfy-Org/frame_interpolation`
+- `Kijai/MiniMax-H3_comfy`
+
+## Notes
+
+- Best same-day MiniMax workflow for a more tuned local-test path.
diff --git a/models/minimax/minimax-h3-plaguekind-v2/workflow.json b/models/minimax/minimax-h3-plaguekind-v2/workflow.json
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+++ b/models/minimax/minimax-h3-plaguekind-v2/workflow.json
@@ -0,0 +1 @@
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[ComfyUI-PlagueKind-Nodes](https://github.com/PlagueKind/Comfyui-PlagueKind-Nodes)\n- [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)\n- [Rgthree-comfy](https://github.com/rgthree/rgthree-comfy)\n- [Nvidia_RTX_Nodes_ComfyUI](https://github.com/Comfy-Org/Nvidia_RTX_Nodes_ComfyUI)\n- [ComfyUI-VideoHelperSuite](https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite)\n- [Sage Attention](https://github.com/thu-ml/SageAttention)\n\n\n---\n\n### Diffusion Model\n[minimax_h3_fl2va_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors)\n\n### VAE\n[minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n[minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Kijai/MiniMax-H3-experimental/resolve/main/minimax_h3_video_vae_int8_convrot.safetensors)\n\n### Text Encoder \n\n[qwen3vl_32b_minimax_h3_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_int8_convrot.safetensors)\n\n### Frame Interpolation \n\n[film_net_fp16.safetensors](https://huggingface.co/Comfy-Org/frame_interpolation/resolve/main/frame_interpolation/film_net_fp16.safetensors)\n\n### Turbo Lora\n\n[Kijai resized turbo lora](https://huggingface.co/Kijai/MiniMax-H3_comfy/resolve/main/loras/minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy_resized_avg_rank_21_bf16.safetensors)\n\n---\n## V2 Notes\n- Added int8 convrot video vae\n- Kijai resized turbo lora, best at 0.6-0.7 strength.\n- Memory chunks return. huge speed up for me. 4 was pretty much the cap for 16gb vram.\n\n---\n- Added the option for T2V.\n- When using T2V, set scale mode of Target Dimension node to Dimensions (WxH) or you will get a square video.\n- Added FSR RCAS sharpening, 0.3 strength looks natural.\n- FFLF is unreliable at res above 640, don't know why, 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