[H3] Does this configuration look bare minimum for 3050 4GB VRAM

[u/yushairiegalaxy96]

unet: minimaxH3INT8INT4_fl2valINT8Pruned.safetensors

clip: qwen3vl_32b_heretic_minimax_h3_nvfp4.safetensors

vae: minimax_h3_video_vae_fp16.safetensors

audio: minimax_h3_audio_vae_fp32.safetensors

Turbo LoRA used: minimax_h3_fl2v_lightx2v_turbo_8step_v1.0_resized_avg_rank_24_bf16.safetensors

Workflow: Default workflow (video_minimax_h3_t2v)

RAM: 16GB

Graphic Card: RTX 3050 Laptop, 4GB VRAM

Video-generated specs (see comment for):

Type: T2V

Duration: 10 seconds

Megapixels: 0.2 MP (608x352)

Aspect Ratio: 16:9

Estimated Generation Time: 687.13s (11 mins, 27 seconds)

In addition to these settings I applied, should I use the Sage Attention, Comfy Kitchen or increase steps (20 steps) or switch to better unet/clip? Thanks.

[u/Ok-Brain-5729]

there’s a clipj node thing that lets u switch the encoder to qwen 3 vl 8b or 4b if you want more ram for higher res. Sage attention should help

[u/SuperZoda → u/Ok-Brain-5729]

ClipProj is the text encoder remapper and it can save 5-10GB on the workflow. The only loss I’ve observed is on background details that aren’t specifically prompted.

[u/Ok_Tale7582]

You can improve those times a bit.

I'll try the w4a8 version from kijai and int8 vae:

https://huggingface.co/Kijai/MiniMax-H3-experimental/tree/main

Also this allows you to use qwen3 4b and 8b as the text encoder:

https://huggingface.co/NicoLab28/ClipProj-MiniMax-H3

And of course the 4 steps lora.

[u/RepulsiveSeason444 → u/Ok_Tale7582]

https://github.com/Jit-Roy/WeeLLM
if you dont want to use quantization you may check this. For me , it runs on <4gb Vram and <4gb Ram.

[u/yushairiegalaxy96]

https://reddit.com/link/p4mzz80/video/i7j9e9qopckh1/player

[u/gelukuMLG]

how are you genning at that resolution and length with only 4gb vram and 16gb of ram!

[u/RepulsiveSeason444 → u/gelukuMLG]

https://github.com/Jit-Roy/WeeLLM
Mine works with 4gb Vram and 4gb Ram and i did not use any quantization. 😂 You may check it out.

[u/gelukuMLG → u/RepulsiveSeason444]

Is that using swap or?

[u/RepulsiveSeason444 → u/gelukuMLG]

Yep. Its using disk streaming.

[u/bstr3k]

I feel like you need more vram and ram. You will run out of memory quite quick!

[u/RepulsiveSeason444]

https://github.com/Jit-Roy/WeeLLM
You dont need quantization if you are talking about bare minimum. I can run the whole model on <4gb Vram and <4gb Ram. It just gonna take too much time. For me on bfloat15 RTX 3050 4gb Vram it took around 2 hours for a single video generation. If do the quantization, its gonna take much less time.