Create first optimized workflow masters

optimized/text-to-video/minimax-h3-3070-turbo-master/README.md

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+# MiniMax H3 3070 Turbo Master
+
+## Summary
+
+Best current `MiniMax H3` speed-first starter for local text-to-video tests.
+
+This master is built from the community Turbo LoRA workflow because standard MiniMax paths are too expensive to be the first serious attempt on a `3070`.
+
+## Status
+
+- `best-current`
+- `not-yet-tested-on-chris-box`
+
+## Workflow asset
+
+- `workflow.json`
+
+## Built from
+
+- `models/minimax/minimax-h3-turbo-lora-community/`
+
+## Why this is the current master
+
+- Explicitly optimized for lower step count
+- Much more aligned with your hardware than generic official baselines
+- Clear developer guidance exists for key settings
+
+## What I intentionally kept
+
+- Turbo LoRA route
+- `8`-step recommendation from the source notes
+- `euler` sampler direction
+- MiniMax acceleration helpers already wired in the graph
+
+## What I intentionally did not add yet
+
+- INT8 reference-video complexity from the separate community workflow
+- extra latent upscale stages
+- broad claims that MiniMax beats `LTX` before we see real results
+
+## Required custom nodes
+
+- MiniMax-compatible Comfy support
+- `ComfyUI-KJNodes`-style helper nodes present in the graph
+- optional acceleration stack may include SageAttention, Sol Attention, Gradient, and Spectrum support
+
+## Expected source model route
+
+- Turbo LoRA source notes recommend:
+  - `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
+  - `8` steps
+  - `euler`
+  - `beta`
+  - LoRA strength `1.0`
+
+## Monday test checklist
+
+- Confirm whether all MiniMax helper nodes resolve.
+- Try the source-recommended settings before changing anything.
+- Judge whether this is merely "possible" or actually practical on your box.
+
+## Next optimization candidates
+
+- merge proven low-VRAM ideas from the INT8 R2V workflow
+- split out an `image-to-video` MiniMax master if the family proves worth keeping