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<a target="_blank" rel="ugc" href="https://civarchive.com/models/2830065/minimax-h3-int8int4-convrot">https://civarchive.com/models/2830065/minimax-h3-int8int4-convrot</a>- Qwen3-VL 32B NF4/AWQ text encoder<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors">https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors</a>- H3 Video VAE FP16<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors">https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors</a>- H3 Audio VAE FP32<a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors">https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors</a>- MiniMax H3 Turbo LoRA<a target="_blank" rel="ugc" href="https://civarchive.com/api/download/models/3206543?fileId=3088145">https://civarchive.com/api/download/models/3206543?fileId=3088145</a>## 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## Steps4 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

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