@bratcliffe909/mcp-server-segmind

# Segmind MCP - Available Models This document lists all currently available models in the Segmind MCP server. ## Model Categories ### 📸 Text-to-Image Generation (4 models) Generate images from text descriptions. #### SDXL (Stable Diffusion XL) - **Model ID**: `sdxl` - **Endpoint**: `/v1/sdxl1.0-txt2img` - **Description**: High-quality image generation with SDXL 1.0 - **Best for**: General purpose, photorealistic images, artistic styles - **Speed**: Medium (10s) - **Credits**: 0.3 per image - **Default size**: 1024x1024 - **Max size**: 2048x2048 **Example prompts**: ``` "A majestic mountain landscape at golden hour, photorealistic" "Portrait of a cyberpunk character, neon lighting, detailed" "Cozy cabin in the woods, autumn colors, oil painting style" ``` #### SDXL Lightning - **Model ID**: `sdxl-lightning` - **Endpoint**: `/v1/sdxl1.0-newreality-lightning` - **Description**: Fast high-quality image generation - **Best for**: Quick iterations, concept art, rapid prototyping - **Speed**: Fast (5s) - **Credits**: 0.2 per image - **Default size**: 512x512 - **Max size**: 2048x2048 - **Special**: Only needs 8 inference steps **Example prompts**: ``` "Simple logo design, minimalist, vector style" "Quick character sketch, anime style" "Product mockup, clean background" ``` #### Fooocus - **Model ID**: `fooocus` - **Endpoint**: `/v1/fooocus` - **Description**: Advanced image generation with refinement options - **Best for**: High-quality artistic images, fine control - **Speed**: Slow (12s) - **Credits**: 0.4 per image - **Special features**: Built-in refinement, multiple LoRA support **Example prompts**: ``` "Fantasy castle, intricate details, magical atmosphere" "Fashion photography, professional studio lighting" "Architectural visualization, modern building, sunset" ``` #### SSD-1B - **Model ID**: `ssd-1b` - **Endpoint**: `/v1/ssd-1b` - **Description**: Efficient billion-parameter model - **Best for**: Fast generation with good quality - **Speed**: Medium (8s) - **Credits**: 0.25 per image - **Default size**: 512x512 **Example prompts**: ``` "Mobile app icon, flat design, colorful" "Simple illustration, children's book style" "Web banner, modern design, tech theme" ``` ### 🎨 Image-to-Image Transformation (1 model) Transform existing images with AI guidance. #### SD 1.5 Image-to-Image - **Model ID**: `sd15-img2img` - **Endpoint**: `/v1/sd1.5-img2img` - **Description**: Transform existing images with Stable Diffusion 1.5 - **Best for**: Style transfer, image editing, variations - **Speed**: Medium (8s) - **Credits**: 0.3 per transformation - **Strength**: 0.0-1.0 (how much to change) **Example uses**: ``` "Transform photo to watercolor painting" (strength: 0.7) "Make this sketch more detailed" (strength: 0.5) "Change day scene to night" (strength: 0.8) ``` ### ✨ Image Enhancement (2 models) Improve image quality and resolution. #### ESRGAN - **Model ID**: `esrgan` - **Endpoint**: `/v1/esrgan` - **Description**: AI-powered image upscaling - **Best for**: Increasing resolution, enhancing details - **Speed**: Fast (5s) - **Credits**: 0.2 per enhancement - **Scale options**: 2x, 4x - **Features**: Optional face enhancement **Example uses**: ``` "Upscale product photo to 4K" "Enhance old family photo" "Improve texture details in game asset" ``` #### CodeFormer - **Model ID**: `codeformer` - **Endpoint**: `/v1/codeformer` - **Description**: AI face restoration and enhancement - **Best for**: Fixing faces, portrait enhancement - **Speed**: Fast (5s) - **Credits**: 0.2 per enhancement - **Fidelity**: 0.0-1.0 (balance between quality and identity) **Example uses**: ``` "Restore faces in old photograph" "Enhance portrait quality" "Fix AI-generated face artifacts" ``` ### 🎬 Video Generation (2 models) Create videos from text descriptions. #### Google Veo 3 - **Model ID**: `veo-3` - **Endpoint**: `/v1/veo-3` - **Description**: Advanced text-to-video with realistic audio synthesis - **Best for**: Cinematic content, realistic scenes, high-quality videos - **Speed**: Slow (30s) - **Credits**: 2.0 per video - **Output**: MP4 format - **Special**: Includes realistic audio synthesis **Example prompts**: ``` "Cinematic shot of ocean waves at sunset, dramatic lighting" "Time-lapse of flowers blooming in a garden" "Aerial view of a futuristic city with flying cars" ``` #### Seedance V1 Lite - **Model ID**: `seedance-v1-lite` - **Endpoint**: `/v1/seedance-v1-lite-text-to-video` - **Description**: Fast high-quality multi-shot video generation - **Best for**: Quick videos, multi-shot sequences, social media content - **Speed**: Medium (20s) - **Credits**: 0.45 per video - **Duration**: 5-10 seconds - **Aspect ratios**: 16:9, 4:3, 1:1, 3:4, 9:16 - **Resolution**: 480p, 720p **Example prompts**: ``` "Dancing robot in a disco, colorful lights" "Product showcase rotating 360 degrees" "Nature documentary style: butterfly on flower" ``` ### 🎤 Text-to-Speech (2 models) Convert text to natural-sounding speech. #### Dia TTS - **Model ID**: `dia-tts` - **Endpoint**: `/v1/dia` - **Description**: Ultra-realistic multi-speaker dialogue with emotions - **Best for**: Dialogues, audiobooks, voice acting - **Speed**: Medium (10s) - **Credits**: 0.15 per generation - **Features**: Multiple speakers ([S1], [S2]), emotions, nonverbal cues - **Output**: MP3/WAV **Example uses**: ``` "[S1] Hello there! <laugh> [S2] Hi! How are you today? (excited)" "[S1] The sunset was beautiful. (wistful) [S2] Yes, I'll never forget it." "Single speaker narration with emotional depth" ``` #### Orpheus TTS 3B - **Model ID**: `orpheus-tts` - **Endpoint**: `/v1/orpheus-3b-0.1` - **Description**: Open-source TTS with emotion tags - **Best for**: Natural conversation, emotional speech - **Speed**: Fast (8s) - **Credits**: 0.1 per generation - **Voices**: tara, dan, josh, emma - **Emotion tags**: <laugh>, <sigh>, <gasp>, <clear throat> **Example uses**: ``` "Welcome to our service! <laugh> We're happy to help you." "I'm not sure... <sigh> Let me think about it." "Breaking news! <gasp> This is incredible!" ``` ### 🎵 Music Generation (2 models) Create original music from text descriptions. #### Lyria 2 - **Model ID**: `lyria-2` - **Endpoint**: `/v1/lyria-2` - **Description**: High-fidelity 48kHz stereo instrumental music - **Best for**: Background music, instrumental tracks, ambient sounds - **Speed**: Medium (25s) - **Credits**: 0.5 per generation - **Output**: 48kHz stereo MP3/WAV - **Special**: Instrumental only, no vocals **Example prompts**: ``` "Peaceful acoustic guitar with soft piano, meditation music" "Epic orchestral score for a battle scene" "Jazz fusion with saxophone and electric guitar" ``` #### Minimax Music-01 - **Model ID**: `minimax-music` - **Endpoint**: `/v1/minimax-music-01` - **Description**: Generate music with accompaniment and vocals - **Best for**: Complete songs, music with lyrics, vocal tracks - **Speed**: Slow (40s) - **Credits**: 0.8 per generation - **Duration**: 10-60 seconds - **Special**: Can generate vocals and lyrics **Example prompts**: ``` "Upbeat pop song about summer vacation" "Emotional ballad with piano and strings" "Electronic dance music with catchy vocals" ``` ## Model Selection Guide ### By Use Case **Product Images** - Generation: `sdxl` or `ssd-1b` - Enhancement: `esrgan` **Portraits** - Generation: `sdxl` or `fooocus` - Enhancement: `codeformer` - Style transfer: `sd15-img2img` **Concept Art** - Quick drafts: `sdxl-lightning` - Final quality: `fooocus` **Logo Design** - Fast iterations: `sdxl-lightning` or `ssd-1b` - High quality: `sdxl` **Video Content** - Cinematic quality: `veo-3` - Social media: `seedance-v1-lite` **Audio Content** - Dialogues/Audiobooks: `dia-tts` - Natural speech: `orpheus-tts` - Background music: `lyria-2` - Songs with vocals: `minimax-music` ### By Speed Priority **Fastest** (< 5s) 1. `sdxl-lightning` 2. `esrgan` 3. `codeformer` **Medium** (5-10s) 1. `orpheus-tts` (8s) 2. `ssd-1b` (8s) 3. `sd15-img2img` (8s) 4. `sdxl` (10s) 5. `dia-tts` (10s) **Slow** (10-30s) 1. `fooocus` (12s) 2. `seedance-v1-lite` (20s) 3. `lyria-2` (25s) 4. `veo-3` (30s) **Slowest** (> 30s) 1. `minimax-music` (40s) ### By Quality Priority **Highest Quality** 1. `fooocus` 2. `sdxl` 3. `sdxl-lightning` 4. `ssd-1b` ### By Credit Efficiency **Most Efficient** (credits per result) 1. `orpheus-tts` (0.1) 2. `dia-tts` (0.15) 3. `esrgan` (0.2) 4. `codeformer` (0.2) 5. `sdxl-lightning` (0.2) 6. `ssd-1b` (0.25) 7. `sdxl` (0.3) 8. `sd15-img2img` (0.3) 9. `fooocus` (0.4) 10. `seedance-v1-lite` (0.45) 11. `lyria-2` (0.5) 12. `minimax-music` (0.8) 13. `veo-3` (2.0) ## Parameter Reference ### Common Parameters **All Models** - `seed`: Reproducible randomness (any integer) **Text-to-Image Models** - `prompt`: Text description (required) - `negative_prompt`: What to avoid - `num_images` / `samples`: Number of variations (1-4) - `width` / `img_width`: Image width (multiples of 8) - `height` / `img_height`: Image height (multiples of 8) - `guidance_scale`: Prompt adherence (1-20, default 7.5) - `num_inference_steps`: Quality/speed tradeoff **Image-to-Image Models** - `image`: Base64 encoded input image (required) - `strength`: Transformation amount (0.0-1.0) - All text-to-image parameters **Enhancement Models** - `image`: Base64 encoded input image (required) - `scale`: Upscale factor (2, 4) - ESRGAN only - `fidelity`: Quality vs identity (0.0-1.0) - CodeFormer only - `face_enhance`: Enable face enhancement - ESRGAN only **Video Generation Models** - `prompt`: Video description (required) - `seed`: Reproducible randomness - `duration`: Video length in seconds - Seedance only - `aspect_ratio`: Video dimensions - Seedance only - `resolution`: Output quality - Seedance only **Text-to-Speech Models** - `text`: Text to convert (required) - `voice`: Speaker voice - Orpheus only - `top_p`: Sampling parameter (0.1-1.0) - `temperature`: Creativity control (0.1-2.0) - `cfg_scale`: Guidance strength - Dia only - `speed_factor`: Speech speed - Dia only **Music Generation Models** - `prompt`: Music description (required) - `negative_prompt`: What to avoid - Lyria only - `duration`: Music length in seconds - Minimax only - `seed`: Reproducible randomness ## Detailed Parameter Documentation For comprehensive documentation of all parameters for each model, including: - Complete parameter descriptions - Valid ranges and constraints - Default values - Available options (schedulers, styles, voices, etc.) - Model-specific features **→ See: [Complete Parameter Reference](PARAMETERS.md)** ## Tips for Best Results ### Image Generation - Be specific about style, lighting, and composition - Use negative prompts to exclude unwanted elements - Start with default settings then adjust ### Video Generation - Describe motion and camera movement - Keep scenes simple for better results - Use consistent style descriptors ### Audio Generation - For TTS: Use emotion tags and speaker markers - For music: Describe genre, mood, and instruments - Specify tempo and energy level Check the [User Guide](USER_GUIDE.md) for more detailed examples!