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Clarify dynamic VRAM and COMFYUI_FLAGS in README

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Updated README to clarify dynamic VRAM usage and flags.
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luix93 2026-03-26 14:37:02 +01:00 committed by GitHub
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@ -14,6 +14,7 @@ Built specifically to handle the quirks of the **sm_121 / compute 12.1** archite
- **Comfy Kitchen** (`comfy_kitchen`) — NVFP4 quantization support for Blackwell
- **Unified-memory optimized flags** — carefully tuned `COMFYUI_FLAGS` that avoid fighting the Grace-Blackwell memory fabric
- **Double-VRAM bug fix** — patches `comfy/utils.py` to set `copy=False` in `tensor.to()`, fixing the double memory usage on unified memory systems with `--disable-mmap`
- **Disabled dynamic vram** — uses `--disable-dynamic-vram` as it doesn't work properly on the Spark, if models fit in memory they won't be unloaded, faster prompt changes to final image/video
- **ComfyUI-Manager** — auto-installed at container startup into the mounted `custom_nodes` volume
- **ComfyUIMini** — lightweight mobile/tablet UI proxying to the ComfyUI backend (optional second service)
- **Health checks** — both services expose health check endpoints for reliable `depends_on` startup ordering
@ -97,6 +98,9 @@ The default `COMFYUI_FLAGS` are tuned for the Grace-Blackwell unified memory arc
| Flag | Reason |
|---|---|
| `--normalvram` | Enforces normal vram mode |
| `--disable-dynamic-vram` | Disables dynamic vram, keeps models in memory as long as they fit, faster prompt changes to final output |
| `--reserve-vram 1` | Reserves 1gb of vram to the system, i found it works a bit better with the other flags |
| `--disable-pinned-memory` | Reduces overhead on the unified memory fabric; pinned memory is counterproductive here |
| `--use-sage-attention` | Enables SageAttention compiled for sm_121 |
| `--force-fp16` | Enables Flash Attention path in PyTorch |