PlagueKind - Minimax H3 - Workflow - Ease of use
PlagueKind - Minimax H3 - LTX2.3 Workflow - Ease of use - Eros | Sulphur Compatible | FaceID
Minimax H3
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.
Support
If you find this project useful and want to support development:
Monero (XMR):
865BrcfWLdwELwuq5faV1uVTbh93zVK6AUYLY2c3mX6sFfAGRfS6axe1kBTYYKuM7ccN7zBZDAZvnT7E4NKmUazySdbpc7p
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.
Requirements
[ComfyUI-H3-Motion-Context-MultiRef
](https://github.com/seitanism/ComfyUI-H3-Motion-Context-MultiRef)
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
Text Encoder
qwen3vl_32b_minimax_h3_int8_convrot.safetensors
Frame Interpolation
Turbo Lora
lightx2v_turbo_4step_v1.0_768p_resized_avg_rank_31_bf16
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.