@bratcliffe909/mcp-server-segmind

# Model Parameters Reference This document provides a comprehensive reference for all parameters available in each Segmind model. ## Table of Contents - [Text-to-Image Models](#text-to-image-models) - [SDXL](#sdxl-stable-diffusion-xl) - [SDXL Lightning](#sdxl-lightning) - [Fooocus](#fooocus) - [SSD-1B](#ssd-1b) - [Image-to-Image Models](#image-to-image-models) - [SD 1.5 Image-to-Image](#sd-15-image-to-image) - [Image Enhancement](#image-enhancement) - [ESRGAN](#esrgan) - [CodeFormer](#codeformer) - [Video Generation](#video-generation) - [Veo-3](#veo-3) - [Seedance V1 Lite](#seedance-v1-lite) - [Text-to-Speech](#text-to-speech) - [Dia TTS](#dia-tts) - [Orpheus TTS](#orpheus-tts) - [Music Generation](#music-generation) - [Lyria 2](#lyria-2) - [Minimax Music](#minimax-music) --- ## Text-to-Image Models ### SDXL (Stable Diffusion XL) High-quality image generation with SDXL 1.0. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | prompt | string | required | - | Text description of the image to generate | | negative_prompt | string | optional | - | What to avoid in the generated image | | img_width | number | 1024 | 256-2048 (multiples of 8) | Image width in pixels | | img_height | number | 1024 | 256-2048 (multiples of 8) | Image height in pixels | | samples | number | 1 | 1-4 | Number of images to generate | | guidance_scale | number | 7.5 | 1-20 | Controls prompt adherence (higher = stricter) | | num_inference_steps | number | 25 | 1-100 | Number of denoising steps (more = higher quality, slower) | | seed | number | optional | any integer | Random seed for reproducible results | | scheduler | string | DDIM | See below | Sampling algorithm | **Available Schedulers:** - DDIM (default) - Fast, good quality - DPMSolverMultistep - High quality, slower - PNDM - Good balance - EulerDiscreteScheduler - Fast convergence - Others may be available ### SDXL Lightning Fast high-quality generation - optimized for speed. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | prompt | string | required | - | Text description of the image to generate | | negative_prompt | string | optional | - | What to avoid in the generated image | | img_width | number | 512 | 256-2048 (multiples of 8) | Image width in pixels | | img_height | number | 512 | 256-2048 (multiples of 8) | Image height in pixels | | samples | number | 1 | 1-4 | Number of images to generate | | guidance_scale | number | 2 | 1-20 | Prompt strength (lower values work better for Lightning) | | num_inference_steps | number | 8 | 1-20 | Optimized for 8 steps | | seed | number | optional | any integer | Random seed for reproducible results | ### Fooocus Advanced generation with style presets and enhancement options. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | prompt | string | required | - | Text description of the image to generate | | negative_prompt | string | optional | - | What to avoid in the generated image | | styles | string | optional | See below | Comma-separated list of style presets | | aspect_ratio | string | 1024×1024 | See below | Image dimensions preset | | image_number | number | 1 | 1-4 | Number of images to generate | | image_seed | number | optional | any integer | Random seed for reproducible results | | sharpness | number | 2 | 0-30 | Image sharpness enhancement | | guidance_scale | number | 7 | 1-30 | Prompt adherence strength | | base_model | string | optional | See below | Base model selection | | refiner_model | string | optional | - | Refiner model for quality enhancement | | loras | string | optional | - | LoRA model configurations as JSON string | **Available Styles:** (Common examples) - Fooocus V2, Fooocus Enhance, Fooocus Sharp - SAI Anime, SAI Digital Art, SAI Photographic - Artstyle Impressionist, Artstyle Watercolor - Dark Fantasy, Steampunk, Cyberpunk - Many more available - experiment! **Aspect Ratios:** - 704×1408, 704×1344, 768×1344, 768×1280 - 832×1216, 832×1152, 896×1152, 896×1088 - 960×1088, 960×1024, 1024×1024 (default) - 1024×960, 1088×960, 1088×896, 1152×896 - 1152×832, 1216×832, 1280×768, 1344×768 - 1344×704, 1408×704, 1472×704, 1536×640 - 1600×640, 1664×576, 1728×576 **Base Models:** - juggernautXL_version6Rundiffusion - sd_xl_base_1.0_0.9vae - sd_xl_refiner_1.0_0.9vae - Others may be available ### SSD-1B Efficient billion-parameter model for fast generation. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | prompt | string | required | - | Text description of the image to generate | | negative_prompt | string | optional | - | What to avoid in the generated image | | img_width | number | 1024 | 256-2048 (multiples of 8) | Image width in pixels | | img_height | number | 1024 | 256-2048 (multiples of 8) | Image height in pixels | | samples | number | 1 | 1-4 | Number of images to generate | | guidance_scale | number | 7.5 | 1-20 | Prompt adherence strength | | num_inference_steps | number | 25 | 1-100 | Number of denoising steps | | seed | number | optional | any integer | Random seed for reproducible results | | scheduler | string | DDIM | Various | Sampling algorithm | --- ## Image-to-Image Models ### SD 1.5 Image-to-Image Transform existing images using Stable Diffusion 1.5. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | image | string | required | base64/URL | Input image to transform | | prompt | string | required | - | Description of desired transformation | | negative_prompt | string | optional | - | What to avoid in the transformation | | width | number | 512 | 64-1024 (multiples of 8) | Output image width | | height | number | 512 | 64-1024 (multiples of 8) | Output image height | | samples | number | 1 | 1-4 | Number of variations to generate | | guidance_scale | number | 7.5 | 0.1-30 | How closely to follow the prompt | | num_inference_steps | number | 25 | 10-100 | Number of denoising steps | | strength | number | 0.75 | 0-1 | Transformation strength (0=no change, 1=complete) | | seed | number | optional | any integer | Random seed for reproducible results | | scheduler | string | DDIM | Various | Sampling algorithm | --- ## Image Enhancement ### ESRGAN AI-powered image upscaling and enhancement. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | image | string | required | base64/URL | Input image to enhance | | scale | number | 4 | 2, 4 | Upscaling factor | | face_enhance | boolean | false | true/false | Enhance faces specifically | ### CodeFormer AI face restoration and enhancement. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | image | string | required | base64/URL | Input image with faces to restore | | fidelity | number | 0.5 | 0-1 | Balance between quality and identity (0=quality, 1=identity) | | background_enhance | boolean | false | true/false | Enhance non-face areas | | face_upsample | boolean | false | true/false | Upscale restored faces | | upscale | number | 2 | 1-4 | Overall upscaling factor | --- ## Video Generation ### Veo-3 Google's advanced text-to-video with cinematic quality and audio synthesis. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | prompt | string | required | max 2000 chars | Detailed scene description | | duration | number | 10 | 5-10 | Video length in seconds | | aspect_ratio | string | 16:9 | 16:9, 9:16, 1:1 | Video dimensions | | resolution | string | 720p | 480p, 720p, 1080p | Video quality | | fps | number | 24 | 24, 30 | Frames per second | | motion | string | auto | auto, slow, medium, fast | Camera/scene motion | | style | string | optional | - | Visual style modifier | | seed | number | optional | any integer | Random seed | **Note:** Veo-3 uses 2.0 credits per generation and includes audio synthesis. ### Seedance V1 Lite Fast multi-shot video generation with dynamic scenes. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | prompt | string | required | - | Scene descriptions (supports multi-shot with \| separator) | | duration | number | 5 | 5-10 | Video length in seconds | | aspect_ratio | string | 16:9 | 16:9, 9:16, 1:1, 4:3 | Video dimensions | | resolution | string | 720p | 480p, 720p | Video quality | | seed | number | optional | any integer | Random seed for reproducibility | --- ## Text-to-Speech ### Dia TTS Ultra-realistic multi-speaker dialogue with emotions and nonverbal cues. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | text | string | required | - | Text with speaker tags [S1], [S2], emotions, and cues | | speed_factor | number | 0.94 | 0.5-1.5 | Playback speed (0.94=normal, <0.94=slower, >0.94=faster) | | top_p | number | 0.95 | 0.1-1 | Controls word variety (higher = rarer words) | | cfg_scale | number | 4 | 1-5 | How strictly to follow text (higher = more accurate) | | temperature | number | 1.3 | 0.1-2 | Controls randomness (higher = more variety) | | input_audio | string | optional | base64 | Base64 audio for voice cloning (.wav, .mp3, .flac) | | max_new_tokens | number | 3072 | 500-4096 | Controls audio length (higher = longer audio) | | cfg_filter_top_k | number | 35 | 10-100 | Filters audio tokens (higher = more diverse sounds) | | seed | number | optional | any integer | Random seed for reproducible results | **Speaker Format:** `[S1] Hello! [S2] Hi there!` **Controlling Speech Pace and Delivery:** 1. **Natural Pacing with Punctuation:** - Periods (.) create natural sentence pauses - Commas (,) add brief pauses - Ellipsis (...) creates longer dramatic pauses - Em-dashes (—) create medium pauses with emphasis 2. **Non-verbal Cues (in parentheses):** - `(pauses)` - Insert explicit pause - `(sighs)` - Natural sigh with pause - `(laughs)` - Laughter sound - `(clears throat)` - Throat clearing - `(breathes deeply)` - Audible breathing - `(hesitates)` - Natural hesitation - `(thinks)` - Thoughtful pause 3. **Speed Control:** - `speed_factor`: Affects overall playback speed - 0.5-0.8: Significantly slower speech - 0.8-0.9: Slightly slower than normal - 0.94: Normal conversational speed (default) - 1.0-1.1: Slightly faster than normal - 1.1-1.5: Significantly faster speech - Note: speed_factor may also affect pitch/prosody 4. **Example with Pacing Controls:** ``` [S1] Hello everyone. (pauses) Today we'll discuss... (hesitates) something very important. [S2] Yes, (breathes deeply) this topic requires careful consideration. [S1] Let me explain — (pauses) — it's not as simple as it seems... ``` 5. **Tips for Natural Pacing:** - Use punctuation naturally as you would in written text - Add non-verbal cues where natural pauses would occur in speech - Combine speed_factor with text markup for best results - Experiment with different combinations for desired effect ### Orpheus TTS Natural conversational speech with 4 distinct voices. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | text | string | required | - | Input text with optional emotion tags | | voice | string | dan | tara, dan, josh, emma | Voice character selection | | top_p | number | 0.95 | 0.1-1 | Nucleus sampling probability | | temperature | number | 0.6 | 0.1-1.5 | Sampling temperature for variation | | max_new_tokens | number | 1200 | 100-2000 | Maximum tokens (controls audio length) | | repetition_penalty | number | 1.1 | 1-2 | Penalty for repeated phrases | **Available Voices:** - **tara**: Female voice, clear and professional - **dan**: Male voice, warm and conversational (default) - **josh**: Male voice, deeper tone - **emma**: Female voice, friendly and expressive **Emotion Tags (in text):** - `<laugh>` - Natural laughter - `<sigh>` - Audible sigh - `<gasp>` - Surprised gasp - `<pause>` - Brief pause - `...` - Natural pause (ellipsis) **Example:** ``` Hello everyone <pause> I'm excited to share this with you <laugh> ``` **Note:** Orpheus does NOT support speed_factor. Use Dia TTS if you need speed control. --- ## Music Generation ### Lyria 2 High-fidelity 48kHz stereo instrumental music generation. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | prompt | string | required | - | Music style and mood description | | duration | number | 30 | 10-60 | Length in seconds | | negative_prompt | string | optional | - | Musical elements to avoid | | seed | number | optional | any integer | Random seed for reproducibility | **Prompt Examples:** - "Upbeat electronic dance music with synth leads" - "Calm piano melody with string accompaniment" - "Epic orchestral soundtrack with brass section" ### Minimax Music Generate music with vocals up to 60 seconds. | Parameter | Type | Default | Range/Options | Description | |-----------|------|---------|---------------|-------------| | prompt | string | required | - | Music description including style, mood, instruments | | duration | number | 30 | 5-60 | Length in seconds | **Prompt Examples:** - "Pop song with female vocals about summer love" - "Rock ballad with male vocals and guitar solo" - "Electronic track with vocoder vocals" --- ## Common Parameters Across Models ### Seed - **Purpose**: Ensures reproducible results - **Usage**: Same seed + same parameters = same output - **Range**: Any integer value - **Default**: Random if not specified ### Guidance Scale - **Purpose**: Controls how closely output follows the prompt - **Low values (1-5)**: More creative/loose interpretation - **Medium values (5-10)**: Balanced adherence - **High values (10-20)**: Strict prompt following - **Note**: Very high values may reduce quality ### Negative Prompt - **Purpose**: Specify what to avoid in generation - **Examples**: "blurry, low quality, distorted, watermark" - **Best Practice**: Be specific about unwanted elements ### Display Mode (for all image/video tools) - **display**: Return for immediate viewing - **save**: Return base64 for saving - **both**: Return both formats ### Save Location - **Purpose**: Override default save directory - **Usage**: Specify full path where files should be saved - **Example**: "/Users/username/Pictures/AI"