This slider helps with getting more tentacles to bring their attention to the right spots.I am always curious to see what my models can do. So do me a favour and upload them ❤️Created with AI-ToolkitWant to know how this sausage got made? Read my <a target="_blank" rel="ugc" href="https://civarchive.com/articles/23457">article</a>

Multiple Penetration Slider

Works even with a strength of <code>1.5</code>, maybe even more.<pre><code>---
job: "extension"
config:
 name: "MultiplePenetration-2C"
 process:
 - type: "concept_slider"
 training_folder: "/var/home/bipolaris/Git/ai-toolkit/output"
 sqlite_db_path: "./aitk_db.db"
 device: "cuda"
 trigger_word: null
 performance_log_every: 10
 network:
 type: "lora"
 linear: 4
 linear_alpha: 4
 conv: 4
 conv_alpha: 4
 lokr_full_rank: true
 lokr_factor: -1
 network_kwargs:
 ignore_if_contains: []
 save:
 dtype: "bf16"
 save_every: 25
 max_step_saves_to_keep: 10
 save_format: "diffusers"
 push_to_hub: false
 datasets:
 - folder_path: "/home/bipolaris/pictures/StableDiffusion/Datasets/multiple2"
 mask_path: null
 mask_min_value: 0.1
 default_caption: ""
 caption_ext: "txt"
 caption_dropout_rate: 0.05
 cache_latents_to_disk: false
 is_reg: false
 network_weight: 1
 resolution:
 - 512
 controls: []
 shrink_video_to_frames: true
 num_frames: 1
 do_i2v: true
 flip_x: false
 flip_y: false
 train:
 batch_size: 1
 bypass_guidance_embedding: false
 steps: 200
 gradient_accumulation: 1
 train_unet: true
 train_text_encoder: false
 gradient_checkpointing: true
 noise_scheduler: "ddpm"
 optimizer: "adamw8bit"
 timestep_type: "sigmoid"
 content_or_style: "style"
 optimizer_params:
 weight_decay: 0.0001
 unload_text_encoder: true
 cache_text_embeddings: false
 lr: 0.001
 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"
 model:
 name_or_path: "/run/media/system/backpack/StableDiffusionKram/StabilityMatrix/Data/Models/StableDiffusion/antiNOVANovacancy_v10.safetensors"
 quantize: false
 qtype: "qfloat8"
 quantize_te: false
 qtype_te: "qfloat8"
 arch: "sdxl"
 low_vram: false
 model_kwargs: {}
 sample:
 sampler: "ddpm"
 sample_every: 25
 width: 1024
 height: 1024
 samples:
 - prompt: "masterpiece, best quality, digital painting, elf, tentacle sex, restrained, vaginal, multiple penetration, spread legs, arms up, struggling, red tentacles, nude, nipples, arched back, short hair, tentacle pit, "
 network_multiplier: "0.8"
 neg: ""
 seed: 4833023215
 walk_seed: false
 guidance_scale: 6
 sample_steps: 25
 num_frames: 1
 fps: 1
 slider:
 guidance_strength: 3
 anchor_strength: 1
 positive_prompt: "anal, double anal, tripple anal, vaginal, double vaginal, tripple vaginal, multiple penetration, full pussy, filled pussy,"
 negative_prompt: "single insertion, penis, few penetration, minimal penetration,"
 target_class: "tentacle sex, multiple penetration"
 anchor_class: ""
meta:
 name: "[name]"
 version: "1.0"
</code></pre>

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