CivArchive
    Moss Nude Men - v1.0
    NSFW
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    Trained over six hours for 4000 steps from a dataset of ~900 images from r/TwinksAndTwunks, r/CollegeBoys, some professional solo gay porn image albums, and a few other places I don't remember. Annotated using abliterated Gemma 4.

    Seems alright.

    If it helps anyone, here is the AI-Toolkit config I used:

    ---
    job: "extension"
    config:
      name: "moss_men"
      process:
        - type: "diffusion_trainer"
          training_folder: "/workspace/output"
          sqlite_db_path: "./aitk_db.db"
          device: "cuda"
          trigger_word: null
          performance_log_every: 10
          network:
            type: "lora"
            linear: 64
            linear_alpha: 64
            lokr_full_rank: true
            lokr_factor: -1
            network_kwargs:
              ignore_if_contains:
                - "layers.22."
          save:
            dtype: "bf16"
            save_every: 250
            max_step_saves_to_keep: 4
            save_format: "diffusers"
            push_to_hub: false
          datasets:
            - folder_path: "/workspace/Images/Dataset"
              mask_path: null
              mask_min_value: 0.1
              default_caption: ""
              caption_ext: "txt"
              caption_dropout_rate: 0.05
              cache_latents_to_disk: true
              is_reg: false
              network_weight: 1
              resolution:
                - 1024
              controls: []
              shrink_video_to_frames: true
              num_frames: 1
              flip_x: false
              flip_y: false
              num_repeats: 1
          train:
            batch_size: 2
            bypass_guidance_embedding: false
            steps: 4000
            gradient_accumulation: 1
            train_unet: true
            train_text_encoder: false
            gradient_checkpointing: false
            noise_scheduler: "flowmatch"
            optimizer: "adamw8bit"
            timestep_type: "shift"
            content_or_style: "balanced"
            optimizer_params:
              weight_decay: 0.0001
            unload_text_encoder: false
            cache_text_embeddings: false
            lr: 0.0002
            ema_config:
              use_ema: false
              ema_decay: 0.99
            skip_first_sample: true
            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"
          logging:
            log_every: 1
            use_ui_logger: true
          model:
            name_or_path: "OpenMOSS-Team/MOSS-Image-Base"
            quantize: true
            qtype: "convrot8"
            quantize_te: true
            qtype_te: "convrot8"
            arch: "moss_image:base"
            low_vram: true
            model_kwargs:
              uncond_skip_layers:
                - 22
            compile: false
            layer_offloading: false
            layer_offloading_text_encoder_percent: 1
            layer_offloading_transformer_percent: 1
          sample:
            sampler: "flowmatch"
            sample_every: 250
            sample_start_step: 0
            width: 1024
            height: 1024
            samples:
              - prompt: "A man stands in front of a mirror in a bathroom, taking a selfie with a silver smartphone. He has short dark hair, a goatee, and a mustache. He is wearing a white tank top that is pulled up to expose his abdomen, which has a small patch of dark hair around the navel. His lower body is partially clothed in black pants, which are pulled down to reveal his genitals. His penis is erect, with the shaft and glans visible, and he is holding it with his right hand. The background features black tiled walls with white grout, and a white door is visible to the left. The lighting is bright, casting clear shadows and highlighting the textures of the tiles and the man's skin. The overall atmosphere is casual and intimate, capturing a private moment."
                width: 768
                height: 1024
              - prompt: "The image depicts a person standing in a laundry room, captured from the waist down. The individual is wearing a red short-sleeve shirt and light blue underwear with a gray waistband. They are holding a tennis racket with a black frame and white grip, gripping it with their right hand. The racket is positioned in front of their body, with the head angled downward. The person's penis is erect and visible through the open waistband of their underwear, pointing downward. The penis goes through the truss of the racket. The background includes a white washing machine and dryer stacked vertically, with various items on top of the dryer. The walls are plain and light-colored, and the floor appears to be a neutral tone. The lighting is bright, casting clear shadows and highlighting the textures of the clothing and the racket. The overall atmosphere is casual and candid, capturing a moment in a domestic setting."
                width: 768
                height: 1024
            neg: ""
            seed: 42
            walk_seed: true
            guidance_scale: 3
            sample_steps: 50
            num_frames: 1
            fps: 1
    meta:
      name: "[name]"
      version: "1.0"
    

    Description

    FAQ

    LORA
    MOSS Image

    Details

    Downloads
    528
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/18/2026
    Updated
    10/25/2026
    Deleted
    -

    Files

    moss_men.safetensors

    Mirrors

    CivitAI (1 mirrors)