Plaguekind/Minimax-H3

PlagueKind - Minimax H3 - Workflow - Ease of use

PlagueKind - Minimax H3 - LTX Workflow - Ease of use - Eros | Sulphur Compatible | FaceID

Minimax H3

V6 Notes

• SLA node overhaul, vast improvement of control and quality.
• Added ER_SDE ODE override.

V5.6 Notes

• Unified resize now has Aspect ratio selector

• Changed default sampler to sa_solver

• I needed to make this because changing unified resize breaks old workflows. update nodepack before loading the workflow

V5.5 Notes

• Major'ish Overhaul of the layout, and wiring.

• Disabling Sparse falls back to comfy attention.

• Sparse Density Notes:

  • 0.80-0.85 - "match pytorch quality"

  • 0.9 - Default - Minimal Degredation 15-20% faster than 0.85

  • 0.95 - HUGE boost for longer hi res generations, can introduce minor degredation

V5 Notes

• I've added my Sparse attention node. No other speedups required. up to 2.5x speedup.

• Switched to dareties lora. Use with shift 8/3 0.8 strength 6-8 steps. this lora works great for all modes.

• Memory Chunking, if you go to high with sparse, it causes slow down. for me beyond 2-4 caused slowdown on 16gb vram.

• Don't mess with the sparse settings on the subgraph unless you have to.

• Make sure to update my node pack to atleast 1.3.1

• Make sure you're on the newest pytorch+cu combo supported.

Support

If you find this project useful and want to support development:

Monero (XMR):

865BrcfWLdwELwuq5faV1uVTbh93zVK6AUYLY2c3mX6sFfAGRfS6axe1kBTYYKuM7ccN7zBZDAZvnT7E4NKmUazySdbpc7p

V4 Notes

• Sage begone, welcome comfy attn. update comfyui, sage without sage issues.

• Switched to 4 step 768 lora. Use with shift 6/3 0.8 strength 6-8 steps, or 1.0 with 4-6 steps.

• Added hybrid model so you don't need to swap anymore, start with 25. 30 higher quality slightly less ref strength.

• When ref swapping a video use er_sde/beta

• Added original audio mode, avoids degradation and vae decode / Allows you to make music videos etc. it's in the reference subgraph.

• Added minimax mode and mode selection to lora stack, so update node pack.

V3.1 Notes

• Sage begone, welcome comfy attn. update comfyui, sage without sage issues.

• Switched to 8 step new lora, these 2 new things combined behave very close to non turbo non sage.

V3 Notes

• Added R2V mode.

V2.1 Notes

• Added preview node.

V2 Notes

• Added int8 convrot video vae

• Kijai resized turbo lora, best at 0.6-0.7 strength.

• Memory chunks return. huge speed up for me. 4 was pretty much the cap for 16gb vram.

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Requirements

• ComfyUI-PlagueKind-Nodes
• ComfyUI-KJNodes
• Rgthree-comfy
• Nvidia_RTX_Nodes_ComfyUI
• ComfyUI-VideoHelperSuite
• ComfyUI-H3-Motion-Context-MultiRef

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Diffusion Model

minimax_h3_hybrid_fl2va_ref2va_b25-49-int8.safetensors

minimax_h3_hybrid_fl2va_ref2va_b30-49-int8.safetensors

VAE

minimax_h3_audio_vae_fp32.safetensors

minimax_h3_video_vae_int8_convrot.safetensors

vae_approx/taeh3.safetensors

Text Encoder

qwen3vl_32b_minimax_h3_int8_convrot.safetensors

Frame Interpolation

film_net_fp16.safetensors

Turbo Lora

dareties_v4_step600_comfy_fro.safetensors

supporting file required.

make the folder h3_adaln in models.

h3_silu_temb_grid.safetensors

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V1.5 Notes

• Added the option for T2V.

• When using T2V, set scale mode of Target Dimension node to Dimensions (WxH) or you will get a square video.

• Added FSR RCAS sharpening, 0.3 strength looks natural.

• FFLF is unreliable at res above 640, don't know why, it's like this on default WF as well.

• Target Dimension node controls the generation size only, refs are passed elsewhere.

• Don't touch the other hidden resize nodes as they only control ref size and are set to max.

• Euler + Linear Quadratic seems to be the best combo with between 15-20 steps.

• I didn't add easy cache because it ruins the quality noticeably,

• If you have time or a powerful card, try heunpp2 sampler. It's phenomenal.