ComfyUI int8-Fast workflows
Sample ComfyUI workflows for ComfyUI-AppleSilicon-int8-Fast, which runs int8 ConvRot models fast on Apple Silicon (M5). Install that node pack first; its README lists every model and LoRA these workflows load, with folders and download links.
| Workflow | Model | LoRA |
|---|---|---|
krea2_turbo_t2i.json |
Krea 2 text-to-image | rgthree LoRA stack, empty by default (needs rgthree-comfy) |
minimax_h3_t2v_mac.json |
MiniMax H3 text-to-video | MiniMax H3 turbo LoRA |
minimax_h3_i2v_mac.json |
MiniMax H3 image-to-video | MiniMax H3 turbo LoRA |
ltx2_5_t2v_mac.json |
LTX 2.5 text-to-video | optional slot, set to None |
ltx2_5_i2v_mac.json |
LTX 2.5 image-to-video | optional slot, set to None |
The LTX 2.5 LoRA slot uses the node pack's "Load LoRA (Bypass, Optional)" node: leave it on None, or pick a LoRA and set its strength on the main node.
The image-to-video workflows need a start image of your own in the Load Image node. Prompts are empty; write your own on the main node.
Tested with ComfyUI v0.40 and PyTorch 2.13 on an M5 Max (48 GB).
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