This is a 75 token negative embedding for the model Realistic Vision v2.0. It should you help attain a more realistic picture when prompting. All training images were generated from that model, and all the training was also done on that model. The embedding will likely work on other models, but I have not tested it on other models.
To use this embedding you need to download it, put it in your embeddings folder, and then activate it in the negative prompt by typing out it's filename in the negative prompt. By default that will be "realisticvision-negative-embedding" (do not enter the file extension in the negative prompt). If you don't like that activation phrase, then you can change the filename to whatever you want, and that becomes the new activation phrase.
## Overview - **Model ID**: `negative-embedding-f` - **Category**: embeddings - **Provider**: modelslab - **Source Type**: Open Source Model - **Status**: model_ready - **Screenshot**: `https://assets.modelslab.ai/generations/148036d8-5ab7-4584-a9e8-c8f3bd3fe8ef-0.png` ## API Information This model can be used via our HTTP API. See the API documentation and usage examples below. ### Endpoint - **URL**: `https://modelslab.com/api/v6/images/text2img` - **Method**: POST ### Parameters - **`prompt`** (required): prompt help in image generation - Type: textarea - Example: Enter prompt - **`model_id`** (required): Enter model_id that can help in image generation - Type: text - Example: Enter model_id here - **`lora_model`** (required): - Type: multiple_models - **`width`** (required): width of the image - Type: number (range: 512-1024) - **`height`** (required): height of the image - Type: number (range: 512-1024) - **`negative_prompt`** (optional): Negative prompt help in avoid things that you do not want in image - Type: textarea - Example: Enter negative prompt that you do not want see in image - **`scheduler`** (optional): - Type: select (options: DPM++ 2M, DPM++ SDE, Euler, Euler a) - **`guidance_scale`** (optional): - Type: number (range: 1-10) ## Usage Examples ### cURL ```bash curl --request POST \ --url https://modelslab.com/api/v6/images/text2img \ --header "Content-Type: application/json" \ --data '{ "key": "YOUR_API_KEY", "model_id": "negative-embedding-f", "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro", "width": "1024", "height": "1024", "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry", "scheduler": "DPMSolverMultistepScheduler", "guidance_scale": "7.5" }' ``` ### Python ```python import requests response = requests.post( "https://modelslab.com/api/v6/images/text2img", headers={ "Content-Type": "application/json" }, json={ "key": "YOUR_API_KEY", "model_id": "negative-embedding-f", "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro", "width": "1024", "height": "1024", "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry", "scheduler": "DPMSolverMultistepScheduler", "guidance_scale": "7.5" } ) print(response.json()) ``` ### JavaScript ```javascript fetch("https://modelslab.com/api/v6/images/text2img", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ "key": "YOUR_API_KEY", "model_id": "negative-embedding-f", "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro", "width": "1024", "height": "1024", "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry", "scheduler": "DPMSolverMultistepScheduler", "guidance_scale": "7.5" }) }) .then(response => response.json()) .then(data => console.log(data)); ``` ## Integration Options ### CLI Install: `curl -fsSL https://modelslab.sh/install.sh | sh` or `brew install modelslab/tap/modelslab` ```bash modelslab auth login # Authenticate modelslab models search "negative-embedding-f" # Find this model modelslab models detail --id negative-embedding-f # Get model details modelslab generate image --prompt "..." --model negative-embedding-f # Generate with model modelslab config set generation.default_model negative-embedding-f # Set as default ``` - Website: https://modelslab.sh - GitHub: https://github.com/ModelsLab/modelslab-cli ### MCP Servers (Model Context Protocol) For Claude Code, Cursor, VS Code, Windsurf, and any MCP-compatible agent. - Generation: `https://modelslab.com/mcp/v7` (API key auth, 23 tools) - Agent Control Plane: `https://modelslab.com/mcp/agents` (Bearer token auth, 10 tools) Claude Code config (`~/.claude/settings.json`): ```json { "mcpServers": { "modelslab-v7": { "url": "https://modelslab.com/mcp/v7", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } } ``` - Documentation: https://docs.modelslab.com/mcp-web-api/overview ### Agent Skills Install skill files directly into AI coding agents: ```bash npx skills add modelslab/skills --all # All skills npx skills add modelslab/skills --skill image-generation # Specific skill npx skills add modelslab/skills --all -a claude-code -a cursor # Target agents ``` - GitHub: https://github.com/ModelsLab/skills - Documentation: https://docs.modelslab.com/agent-skills ### SDKs - Python: `pip install modelslab` - TypeScript: `npm install modelslab` - PHP: `composer require modelslab/modelslab` - Go: `go get github.com/modelslab/modelslab-go` - Dart: `dart pub add modelslab` ## Links - [Model Playground](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/community-model/negative-embedding-f) - [API Documentation](https://docs.modelslab.com) - [ModelsLab Platform](https://modelslab.com)