Instructions to use drbaph/Hyperflow-Comfyui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
HyperFlow β ComfyUI node weights
ComfyUI-converted builds of HyperFlow (Video Rebirth's 8-step LoRA for MiniMax-H3, video + audio), for the ComfyUI-Hyperflow custom node.
These are not the standalone LoRAs. The files here require the custom node (they carry the time-embedder/endpoint LoRA + fixed 8-step grid the node consumes). If you want to use HyperFlow without the custom node, get the extracted standalone builds from drbaph/MiniMax-H3-Turbo-Lora-ComfyUI β those load with the stock
Load LoRAnode (backbone only, no two-time conditioning, output deviates from the released model).
Files β download ONE into models/hyperflow/
| File | Size | Base | Notes |
|---|---|---|---|
custom_node_hyperflow_8step_v1.0_comfyui.safetensors |
3.67 GiB | full (non-pruned) | the released 8-step model (two-time conditioning) |
custom_node_hyperflow_8step_v1.0_comfyui_pruned.safetensors |
3.64 GiB | pruned/curve | backbone only, single-time (off-recipe) |
π ComfyUI/
βββ π models/
βββ π hyperflow/
βββ custom_node_hyperflow_8step_v1.0_comfyui.safetensors
- The
hyperflow.json/hyperflow_pruned.jsonmanifests ship with the node pack β you only download the.safetensors. - Or skip downloading: enable the node's
download_if_missingtoggle and it fetches itself. - Converted from the official
minimax_h3_hyperflow_8step_v1.0.safetensors(SHA-2569297f450β¦df447, verified); the original diffusers-layout file is rejected by the node, never translated at load time.
Usage: Load Diffusion Model (MiniMax-H3) β ApplyHyperFlow β SamplerCustomAdvanced + euler (feed the node's SIGMAS output). Optional sparse attention: core Model Sparse Attention (sol-attn: start_percent 0.25, dense_blocks "0,1", tau 1.0).
Weights are a Model Derivative of MiniMax-H3 under the MiniMax H3 Community License.
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