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  1. {"id":"minimax-h3-veda-6step-i2va-share","revision":0,"last_node_id":22,"last_link_id":25,"nodes":[{"id":1,"type":"MarkdownNote","pos":[-635.3195714285699,777.0615714285727],"size":[620,1080],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"title":"How to use","properties":{"Node name for S&R":"MarkdownNote","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["## MiniMax H3 image to video\n\nFlat graph of the posted 6-step setup, wired as image to video. Load Image is the first frame, so the clip opens on that still and the soundtrack is written from the prompt. Leave Last frame empty unless the clip should land on a second still.\n\n### First install\n1. Use ComfyUI 0.38 or newer. Restart after each custom-node install, then load this file again from disk. An already-open tab keeps the old copy.\n2. Install Veda. In ComfyUI Manager search for Veda, or run `comfy node install veda-sparse-attention`, or clone https://github.com/veda-sparse/Veda-on-ComfyUI into `custom_nodes`.\n3. Install RES4LYF the same way: https://github.com/ClownsharkBatwing/RES4LYF . That pack registers the beta57 scheduler. Without it, Queue stops on the scheduler.\n4. Queue once and accept the missing-models dialog. It fetches the diffusion model, the text encoder, both VAEs, and the Veda predictor into the folders named on the loader nodes. The diffusion file is about 19 GB.\n5. `example.png` already ships in ComfyUI's `input` folder, so the first Queue has a picture. It is a flat cartoon girl on a hill. This checkpoint is a realism merge, so swap that still for a real photo and rewrite the prompt to match it before you judge the look.\n\nIf `comfy kitchen attention` is missing from Model Attention Backend, pick `pytorch attention`. Kitchen runs on Nvidia and AMD GPUs.\n\nThe text encoder is NVFP4 and runs natively on RTX 50-series and newer. On an older Nvidia card, change the CLIP file to `qwen3vl_32b_minimax_h3_int8_convrot.safetensors` and leave the type on `minimax`:\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_int8_convrot.safetensors\n\nRead the model page before you post the clips. The merge follows its source licenses.\n\nThe text encoder places the first frame in front of your prompt as Picture 1. You do not type that tag. Describe what the still does next. A second still on Last frame is cover-cropped onto the canvas. The first frame is stretched to the canvas.\n\n### Posted settings\n- Diffusion `10Eros_Max_SingularityV2_PRISM2_PikaFlex_0.85_int8HQ.safetensors`, dtype default, in `models/diffusion_models`\n https://huggingface.co/OliviaRossi/Minimax-h3_Singularity-x-10Eros-Max_PRISM/resolve/main/10Eros_Max_SingularityV2_PRISM2_PikaFlex_0.85_int8HQ.safetensors\n- Model Attention Backend: comfy kitchen attention\n- Veda Sparse Attention (MiniMax H3), after Kitchen, into both the guider and the scheduler\n predictor `minimax_h3_t2va_veda_8nfe_600step_preview_fp8.safetensors` in `models/veda`\n generated_sparsity 90%, reference_sparsity 90%\n full_attention_layers empty, full_attention_steps 1, verbose off\n https://huggingface.co/Veda-Sparse/Minimax-H3-T2VA-Veda-8NFE-600Step-Preview/resolve/9a1fd3a41b4a754a7886e64e82edbddf599fd1bd/minimax_h3_t2va_veda_8nfe_600step_preview_fp8.safetensors\n https://github.com/veda-sparse/Veda-on-ComfyUI\n- Steps 6, sampler lcm, scheduler beta57, denoise 1. No LoRA.\n- Length 15 seconds, which snaps to 362 frames at 24 fps\n- 9:16 at 0.6 MP, multiple 32 (608x1056)\n- Upscale target 1.5 is Resize Image/Mask, scale by multiplier, lanczos, after the video decode (912x1584). Audio is not resized.\n- Select the Veda node and press Ctrl+B to bypass it and render the same seed with full attention. Leave ComfyUI Model Sparse Attention off this wire.\n- If the still drifts, set reference_sparsity to `0%`. That gives the reference full attention and runs slower.\n\n### Also on this graph\n- CLIP `qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors`, type minimax, device default\n https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n- Video VAE `minimax_h3_video_vae_fp16.safetensors`\n https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors\n- Audio VAE `minimax_h3_audio_vae_fp32.safetensors`\n https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors\n\nThis task uses the text / first-frame predictor above. The reference predictor is a different file and belongs on the reference graph.\n"],"widgets_values_named":{"text":"## MiniMax H3 image to video\n\nFlat graph of the posted 6-step setup, wired as image to video. Load Image is the first frame, so the clip opens on that still and the soundtrack is written from the prompt. Leave Last frame empty unless the clip should land on a second still.\n\n### First install\n1. Use ComfyUI 0.38 or newer. Restart after each custom-node install, then load this file again from disk. An already-open tab keeps the old copy.\n2. Install Veda. In ComfyUI Manager search for Veda, or run `comfy node install veda-sparse-attention`, or clone https://github.com/veda-sparse/Veda-on-ComfyUI into `custom_nodes`.\n3. Install RES4LYF the same way: https://github.com/ClownsharkBatwing/RES4LYF . That pack registers the beta57 scheduler. Without it, Queue stops on the scheduler.\n4. Queue once and accept the missing-models dialog. It fetches the diffusion model, the text encoder, both VAEs, and the Veda predictor into the folders named on the loader nodes. The diffusion file is about 19 GB.\n5. `example.png` already ships in ComfyUI's `input` folder, so the first Queue has a picture. It is a flat cartoon girl on a hill. This checkpoint is a realism merge, so swap that still for a real photo and rewrite the prompt to match it before you judge the look.\n\nIf `comfy kitchen attention` is missing from Model Attention Backend, pick `pytorch attention`. Kitchen runs on Nvidia and AMD GPUs.\n\nThe text encoder is NVFP4 and runs natively on RTX 50-series and newer. On an older Nvidia card, change the CLIP file to `qwen3vl_32b_minimax_h3_int8_convrot.safetensors` and leave the type on `minimax`:\nhttps://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_int8_convrot.safetensors\n\nRead the model page before you post the clips. The merge follows its source licenses.\n\nThe text encoder places the first frame in front of your prompt as Picture 1. You do not type that tag. Describe what the still does next. A second still on Last frame is cover-cropped onto the canvas. The first frame is stretched to the canvas.\n\n### Posted settings\n- Diffusion `10Eros_Max_SingularityV2_PRISM2_PikaFlex_0.85_int8HQ.safetensors`, dtype default, in `models/diffusion_models`\n https://huggingface.co/OliviaRossi/Minimax-h3_Singularity-x-10Eros-Max_PRISM/resolve/main/10Eros_Max_SingularityV2_PRISM2_PikaFlex_0.85_int8HQ.safetensors\n- Model Attention Backend: comfy kitchen attention\n- Veda Sparse Attention (MiniMax H3), after Kitchen, into both the guider and the scheduler\n predictor `minimax_h3_t2va_veda_8nfe_600step_preview_fp8.safetensors` in `models/veda`\n generated_sparsity 90%, reference_sparsity 90%\n full_attention_layers empty, full_attention_steps 1, verbose off\n https://huggingface.co/Veda-Sparse/Minimax-H3-T2VA-Veda-8NFE-600Step-Preview/resolve/9a1fd3a41b4a754a7886e64e82edbddf599fd1bd/minimax_h3_t2va_veda_8nfe_600step_preview_fp8.safetensors\n https://github.com/veda-sparse/Veda-on-ComfyUI\n- Steps 6, sampler lcm, scheduler beta57, denoise 1. No LoRA.\n- Length 15 seconds, which snaps to 362 frames at 24 fps\n- 9:16 at 0.6 MP, multiple 32 (608x1056)\n- Upscale target 1.5 is Resize Image/Mask, scale by multiplier, lanczos, after the video decode (912x1584). Audio is not resized.\n- Select the Veda node and press Ctrl+B to bypass it and render the same seed with full attention. Leave ComfyUI Model Sparse Attention off this wire.\n- If the still drifts, set reference_sparsity to `0%`. That gives the reference full attention and runs slower.\n\n### Also on this graph\n- CLIP `qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors`, type minimax, device default\n https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n- Video VAE `minimax_h3_video_vae_fp16.safetensors`\n https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors\n- Audio VAE `minimax_h3_audio_vae_fp32.safetensors`\n https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors\n\nThis task uses the text / first-frame predictor above. The reference predictor is a different file and belongs on the reference graph.\n"},"color":"#432","bgcolor":"#653"},{"id":2,"type":"UNETLoader","pos":[40,820],"size":[460,90],"flags":{},"order":1,"mode":0,"inputs":[{"localized_name":"unet_name","name":"unet_name","type":"COMBO","widget":{"name":"unet_name"},"link":null},{"localized_name":"weight_dtype","name":"weight_dtype","type":"COMBO","widget":{"name":"weight_dtype"},"link":null}],"outputs":[{"localized_name":"MODEL","name":"MODEL","type":"MODEL","links":[1]}],"properties":{"Node name for 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MP 9:16","properties":{"Node name for S&R":"ResolutionSelector","cnr_id":"comfy-core","ver":"0.41.0","ue_properties":{"widget_ue_connectable":{},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":["9:16 (Portrait Widescreen)",0.6,32],"widgets_values_named":{"aspect_ratio":"9:16 (Portrait Widescreen)","megapixels":0.6,"multiple":32}},{"id":9,"type":"PrimitiveFloat","pos":[580.4017006148005,1282.5610166078718],"size":[270,80],"flags":{},"order":6,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"FLOAT","widget":{"name":"value"},"link":null}],"outputs":[{"localized_name":"FLOAT","name":"FLOAT","type":"FLOAT","links":[11]}],"title":"Length (seconds)","properties":{"Node name for S&R":"PrimitiveFloat","cnr_id":"comfy-core","ver":"0.41.0","ue_properties":{"widget_ue_connectable":{"value":true},"version":"7.8","input_ue_unconnectable":{}}},"widgets_values":[15],"widgets_values_named":{"value":15}},{"id":10,"type":"ComfyMathExpression","pos":[505.00411138618995,1446.9125396835288],"size":[420,160],"flags":{},"order":11,"mode":0,"inputs":[{"localized_name":"a","name":"values.a","type":"FLOAT,INT,BOOLEAN","link":11},{"localized_name":"b","name":"values.b","shape":7,"type":"FLOAT,INT,BOOLEAN","link":null},{"localized_name":"expression","name":"expression","type":"STRING","widget":{"name":"expression"},"link":null}],"outputs":[{"localized_name":"FLOAT","name":"FLOAT","type":"FLOAT","links":null},{"localized_name":"INT","name":"INT","type":"INT","links":[12]},{"localized_name":"BOOL","name":"BOOL","type":"BOOLEAN","links":null}],"title":"Frames at 24 fps","properties":{"Node name for 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17"}},{"id":11,"type":"MiniMaxH3ImageToVideo","pos":[1040,820],"size":[460,520],"flags":{},"order":13,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":5},{"localized_name":"vae","name":"vae","type":"VAE","link":6},{"localized_name":"first_frame","name":"first_frame","shape":7,"type":"IMAGE","link":25},{"localized_name":"last_frame","name":"last_frame","shape":7,"type":"IMAGE","link":null},{"localized_name":"prompt","name":"prompt","type":"STRING","widget":{"name":"prompt"},"link":null},{"localized_name":"width","name":"width","type":"INT","widget":{"name":"width"},"link":9},{"localized_name":"height","name":"height","type":"INT","widget":{"name":"height"},"link":10},{"localized_name":"length","name":"length","type":"INT","widget":{"name":"length"},"link":12}],"outputs":[{"localized_name":"positive","name":"positive","type":"CONDITIONING","links":[13]},{"localized_name":"LATENT","name":"LATENT","type":"LATENT","links":[14]}],"title":"Image to 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She has tall yellow hair, round blue eyes, a pink dress, and both arms held out. She stays that drawing. She slowly lowers her arms, the clouds drift to the right, and the grass moves in a light breeze. At 00:08.000 she takes two small steps toward the camera and her smile gets a little wider. One continuous shot, camera locked.\n\noverall_soundscape: Light wind over grass, two soft footsteps, and one short quiet laugh as she steps forward.\n\nnon_diegetic_music: N/A.",608,1056,362],"widgets_values_named":{"prompt":"integrated_multimodal_description: [Shot 1] The opening frame is a flat cartoon girl standing on a green hill under a blue sky with two white clouds. She has tall yellow hair, round blue eyes, a pink dress, and both arms held out. She stays that drawing. She slowly lowers her arms, the clouds drift to the right, and the grass moves in a light breeze. At 00:08.000 she takes two small steps toward the camera and her smile gets a little wider. One continuous shot, camera locked.\n\noverall_soundscape: Light wind over grass, two soft footsteps, and one short quiet laugh as she steps forward.\n\nnon_diegetic_music: N/A.","width":608,"height":1056,"length":362}},{"id":12,"type":"KSamplerSelect","pos":[1560,820],"size":[270,60],"flags":{},"order":7,"mode":0,"inputs":[{"localized_name":"sampler_name","name":"sampler_name","type":"COMBO","widget":{"name":"sampler_name"},"link":null}],"outputs":[{"localized_name":"SAMPLER","name":"SAMPLER","type":"SAMPLER","links":[15]}],"title":"Sampler","properties":{"Node name for 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