MiniMax-AI / MiniMax-AI/MiniMax-H3
Question: Are MiniMax H3 VAE tile settings configurable?
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- Python
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Description
Hi,
I am using the MiniMax H3 video VAE in ComfyUI.
The official configuration uses vae_clip_length = 17, vae_tile_size = 256, and vae_tile_overlap_min = 64.
With an 864×480, 362-frame video, the original tiling strategy is very slow. However, changing the spatial tile size or overlap causes visible shadows and block-like artifacts.
Could you please clarify:
- Are
tile_sizeandtile_overlapconfigurable? - What alignment rules must they follow? For example, must they be multiples of 16?
- Are temporal chunk size and temporal overlap configurable?
- Is full-frame spatial decoding valid when enough VRAM is available?
- Is there an official way to accelerate VAE decoding without artifacts?
Changing the tile settings causes visible artifacts at tile boundaries. Are there any required padding, blending, or positional-coordinate rules that must be preserved?
Environment:
- ComfyUI
minimax_h3_video_vae_fp16.safetensors- RTX 2080 Ti 22 GB
- 864×480, 362 frames
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- Read the whole issue, then the project's contributing guide.
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Research direction
No source file or test is named. Start by tracing the MiniMax H3 video VAE configuration used by ComfyUI, focusing on the listed spatial and temporal tile settings and the observed boundary artifacts. Done would require documented supported settings and alignment, overlap, padding, blending, or positional-coordinate rules, plus an official artifact-free acceleration path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100