v1.0.0

First release of the ComfyUI port of HyperFlow (Video Rebirth''s 8-step LoRA for MiniMax-H3, video + audio).

What''s in the box

• ApplyHyperFlow / ApplyHyperFlowAdvanced — 8-step LoRA + two-time (t, r) conditioning on ComfyUI''s native MiniMax-H3 model (no core files modified, no custom sampler; endpoints derive from sample_sigmas, any core sampler works).
• Outputs the trained 9-point grid as SIGMAS — feed SamplerCustomAdvanced + euler, 8 model forwards per clip.
• LoRA via ComfyUI''s weight-adapter machinery: bypass (default, matches the reference''s unmerged bf16 branches) or merge; fused-quant targets on int8 bases auto-route through merge. Works on full and pruned/curve bases (auto-detected, matching full/pruned builds).
• download_if_missing fetches the chosen variant from drbaph/Hyperflow-Comfyui into models/hyperflow/.
• Optional sparse attention stays on core nodes: Model Attention Backend + Model Sparse Attention (sol-attn recipe: start_percent 0.25, dense_blocks "0,1", tau 1.0).

Weights for this node (download one into models/hyperflow/): custom_node_hyperflow_8step_v1.0_comfyui.safetensors (full base, the released model) or custom_node_hyperflow_8step_v1.0_comfyui_pruned.safetensors (pruned bases, backbone only).

Don''t want the custom node? Standalone builds that load with the stock Load LoRA node (backbone only, no two-time conditioning) live in drbaph/MiniMax-H3-Turbo-Lora-ComfyUI: minimax_h3_hyperflow_8step_v1.0_comfyui_bf16.safetensors (3.93 GB) / ..._pruned_bf16.safetensors (3.91 GB), plus rank-20 resized variants (~318/316 MB).

CPU test suite: python -m pytest tests/ -q (33 tests).