Download
1 variant available
Config Other
FisherKing-MiniMax-H3-[FirstFrame-LastFrame]-I2V-ReferenceWorkflow-v1.0.json
29.48 KB
Verified: 12 days ago
This checkpoint includes a config file, download and place it along side the checkpoint.
3450 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
(24)
Aug 10, 2026
MiniMax H3

10.9K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
5460 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
1550 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
MiniMax H3 is licensed by MiniMax under the MiniMax H3 Community License Agreement. That agreement’s Applicable Territory excludes the European Union, the United Kingdom, the Republic of Korea and the United States of America. Your use of H3 and of any H3 derivative is subject to that agreement and its Acceptable Use Policy.
MiniMax H3
Workflow Goal:
Provide a clean reference implementation for MiniMax H3 based image-to-video generation.
This workflow focuses on simplicity, reproducibility, and education rather than including every available feature or optimizations. It reflects a tested baseline for producing high-quality videos from a prompt and reference images. Treat it as a starting point and adapt the prompt and LoRA stack for your preferred artistic direction.
IMPORTANT NOTE:
Validated using an NVIDIA RTX 2080 (8 GB VRAM) with 64 GB System RAM.
Low VRAM does not mean low hardware requirements.
MiniMax H3 Image-to-Video is computationally intensive. Even when GPU VRAM is managed efficiently, higher resolutions and longer videos can require substantial system RAM for memory paging and intermediate data.
## Model
- MiniMax H3 INT8 quantized diffusion model
https://civitai.red/models/2830065/minimax-h3-int8int4-convrot
- Qwen3-VL 32B NF4/AWQ text encoder
- H3 Video VAE FP16
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors
- H3 Audio VAE FP32
https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors
- MiniMax H3 Turbo LoRA
https://civitai.red/api/download/models/3206543?fileId=3088145
## Tested Configuration
- GPU: NVIDIA RTX 2080 8 GB
- System RAM: 64 GB
- Resolution: 768 × 512
- Duration: 5 seconds
- CFG: 1.0
- Sampler: res_multistep
- Scheduler: simple
## Steps
4 steps + Turbo LoRA
- Primary configuration.
- Good visual quality, motion, effects and audio.
- Significantly faster than the base model at the cost of using fewer sampling steps.
- Slight slow-motion feel may occur at the beginning of some clips.
## Notes
- Durations above 5 seconds resulted in OOM on the tested RTX 2080 configuration.
- Resolution above 512x768 or 768x512 resulted in OOM on the tested RTX 2080 configuration.
## 8–10 steps
- Produces more fluid and dynamic motion than the 4-step configuration.
Significantly increases generation time on low-VRAM hardware.
## Optimization
- No hardware-specific attention optimizations used.
- No SageAttention.
- No other VRAM/speed optimization nodes or launch parameters required.
- Reference workflow intentionally uses the standard H3/ComfyUI execution path.
## Credits
- MiniMax H3: MiniMax
- H3 ComfyUI implementation / model work: Kijai
- Turbo LoRA: LightX2V
- INT8 quantization: see model source linked above
- Workflow reference: MiniMax H3 community/reference workflow

