CivArchive
    MiniMax H3 - Pussy spread - v0.2 i2v
    NSFW

    This is just a test LoRA, trained on only 10 pussy spread clips, so please don't expect great results.

    No dataset changes in V0.2. Now all training video captions follow the Minimax H3 prompt writing guide. The prompts of all showcase videos also follow the guide and are in English.

    Minimax H3 test LoRA for pussy spread


    Training setting:

    job: "extension"
    config:
      name: "minimax_v3"
      process:
        - type: "diffusion_trainer"
          training_folder: "/path/to/output"
          sqlite_db_path: "./aitk_db.db"
          device: "cuda"
          trigger_word: null
          performance_log_every: 10
          network:
            type: "lora"
            linear: 16
            linear_alpha: 16
            conv: 16
            conv_alpha: 16
            lokr_full_rank: true
            lokr_factor: -1
            network_kwargs:
              ignore_if_contains:
                - "adaln_proj"
          save:
            dtype: "bf16"
            save_every: 250
            max_step_saves_to_keep: 4
            save_format: "diffusers"
            push_to_hub: false
          datasets:
            - folder_path: "/path/to/datasets/my_dataset"
              mask_path: null
              mask_min_value: 0.1
              default_caption: ""
              caption_ext: "txt"
              caption_dropout_rate: 0
              cache_latents_to_disk: true
              is_reg: false
              network_weight: 1
              resolution:
                - 1024
                - 768
              controls: []
              shrink_video_to_frames: true
              num_frames: 39
              flip_x: false
              flip_y: false
              num_repeats: 1
              do_i2v: true
              fps: 24
              auto_frame_count: true
          train:
            batch_size: 1
            bypass_guidance_embedding: false
            steps: 3000
            gradient_accumulation: 1
            train_unet: true
            train_text_encoder: false
            gradient_checkpointing: true
            noise_scheduler: "flowmatch"
            optimizer: "automagic3"
            timestep_type: "shift"
            content_or_style: "balanced"
            optimizer_params:
              weight_decay: 0.0001
            unload_text_encoder: false
            cache_text_embeddings: true
            lr: 0.0001
            ema_config:
              use_ema: false
              ema_decay: 0.99
            skip_first_sample: false
            force_first_sample: false
            disable_sampling: false
            dtype: "bf16"
            diff_output_preservation: false
            diff_output_preservation_multiplier: 1
            diff_output_preservation_class: "person"
            switch_boundary_every: 1
            loss_type: "mse"
            do_guidance_loss: true
            guidance_loss_target: 3.5
            audio_loss_multiplier: 1
            do_differential_guidance: true
            differential_guidance_scale: 4
          logging:
            log_every: 1
            use_ui_logger: true
          model:
            name_or_path: "Comfy-Org/MiniMax-H3"
            quantize: true
            qtype: "convrot8"
            quantize_te: true
            qtype_te: "nvfp4"
            arch: "minimax_h3"
            low_vram: false
            model_kwargs: {}
            compile: false
            layer_offloading: false
            layer_offloading_text_encoder_percent: 1
            layer_offloading_transformer_percent: 1
            assistant_lora_path: "ostris/minimax_h3_training_adapter/minimax_h3_training_adapter_v1.safetensors"

    Description

    Still sample dataset as V0.1, but video captions now follow the MiniMax H3 prompt writing guide

    FAQ

    LORA
    MiniMax H3

    Details

    Downloads
    1,150
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/8/2026
    Updated
    9/8/2026
    Deleted
    -

    Files

    minimax_h3_pussy_spread_v0.2.safetensors