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