MiniMaxH3 GGUF Turbo+Latent Upscaling+Runtime Preview (Low VRAM & Good Quality) [FL2VA | T2VA]

This ComfyUi fl2va | t2va workflow use Turbo 4steps with Latent Upscaling to generate 1.0 mp good quality result with short generating time.

If this workflow works great for you, please support me with ⚡⚡buzz⚡⚡, so I can do more testing and share more works, thank you!🦉❤️☕

Generating Pipeline:

1. Turbo generating with 0.2mp in the first 2 steps.

2. Upscale the H3 AVLatent to 1.0mp using trained neural network.

3. Re-sample the H3 AV latent at higher resolution in the last 2 steps.

This ensures decent generating speed + Low VRAM requirement + Naturel fine upscaling details.

Features:

• 🚀Turbo 4 steps generating (2+2)

• 🔍Latent Upscaling

• 🗒️Multiple LoRa support

• 🖥️Runtime Preview when generating

• 🗜️GGUF models

Tested on RTX3080(laptop) 16GB VRAM .

• Choose Q8 Base model and Q5 text encoder if you have 16GB VRAM.

• Choose Q4 Base model and Q4 text encoder if you have less than 16GB VRAM.

Model Links

- Base model -
minimaxH3TurboGGUF_fl2vTurbo4stepV10768.gguf(Q8)

• place it under: models\unet\

• Choose Q8 for 16GB+ VRAM, Q4 for less

Thanks molbal for his awesome model!

- Text Encoder -
MiniMax-H3-encoder-Q5_K_M.gguf(Q5)

Make sure also download: MiniMax-H3-encoder-mmproj-F16.gguf from that page and place it under the same folder.

• place them all under: models\text_encoders\

• Choose Q5 for 16GB+ VRAM, Q4 for less

Thanks joeygambino for his awesome model!

- VAE -

Video VAE

Audio VAE

• place them all under: models\vae\

- Preview VAE -

Tine VAE

• place it under: models\vae_approx\

Thanks Kijai for his awesome model!

- Upscaler -

minimax_h3_latent_upscaler_3d_fp16.safetensors

• place it under: models\latent_upscale_models\

Thanks LBH-123-AI or his awesome model!

ComfyUi Custom Nodes

- ComfyUI-H3-Multishot

Used for GGUF base model loader, GGUF text encoder loader, Multi LoRa loader,

Github install URL: https://github.com/jlucasmcrell/ComfyUI-H3-Multishot

- Comfyui_Minimax_h3_latent_Upscaler

Used for Latent upscale

Github install URL: https://github.com/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler

Make sure update your ComfyUi to latest version!

Tips

- How to use Last Frame -

• Connect resized image (0.2mp) to last_frame of MiniMax H3 Image to Video

• Connect resized image (1mp) to last_frame of Upscaler Condition

- How to switch to [t2va] -

• Bypass the following nodes: First Frame, Resized Image (0.2mp), Resized Image (1mp)

- Balance between motion and surface details -

• Lower the Shift_video value of ModelSamplingMiniMaxH3 node will make the model focus more on physics, increase it will make it focus more on surface details.