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realistic-vision-v6-0-b1

realistic-vision-v6-0-b1

Realistic Vision | Photorealistic Image Generation. Generate photorealistic images with img2img and inpainting support. Triggers: realistic vision, photorealistic, realistic image, photo generation, realistic portrait

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Documentation de la Skill

GitHub

name: realistic-vision-v6-0-b1 description: "Realistic Vision | Photorealistic Image Generation. Generate photorealistic images with img2img and inpainting support. Triggers: realistic vision, photorealistic, realistic image, photo generation, realistic portrait" allowed-tools: Bash(curl *), WebFetch

Realistic Vision

Generate photorealistic images from text prompts with Realistic Vision V6. Supports text-to-image, image-to-image, and inpainting with multiple scheduler options.

Quick Start

Requires an each::labs API key. Get one at eachlabs.ai.

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "realistic-vision-v6-0-b1",
    "version": "0.0.1",
    "input": {
      "prompt": "photo of offroad car, forest, sunset, clouds",
      "width": 512,
      "height": 728,
      "guidance_scale": 7.5,
      "num_inference_steps": 20
    }
  }'

Parameters

ParameterTypeDefaultDescription
guidance_scalenumber7.5Guidance scale - how much the model follows the prompt
heightinteger728Height of generated image
imagestring-Input image for img2img mode
maskstring-Mask for inpainting (specifies which parts to alter)
negative_promptstring(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime)...Negative prompt
num_inference_stepsinteger20Number of inference steps
promptstringphoto of offroad car, forest, sunset, cloudsText prompt for generation
schedulerstringK_EULER_ANCESTRALScheduler. enum: DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, PNDM
seedinteger-Random seed for reproducibility
strengthnumber1Strength of transformation when using img2img
use_karras_sigmasbooleanfalseUse Karras sigmas for improved image quality
widthinteger512Width of generated image

Examples

Photorealistic portrait:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "realistic-vision-v6-0-b1",
    "version": "0.0.1",
    "input": {
      "prompt": "RAW photo, a beautiful woman standing in golden wheat field, natural skin, 8k uhd, DSLR, film grain, Fujifilm XT3",
      "negative_prompt": "(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, low quality, blurry",
      "width": 512,
      "height": 768,
      "guidance_scale": 7,
      "num_inference_steps": 25,
      "scheduler": "DPMSolverMultistep",
      "use_karras_sigmas": true
    }
  }'

Image-to-image style transfer:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "realistic-vision-v6-0-b1",
    "version": "0.0.1",
    "input": {
      "prompt": "RAW photo, a cozy cabin in snowy mountains, warm lights, 8k uhd, high quality",
      "image": "https://example.com/cabin-sketch.jpg",
      "strength": 0.75,
      "guidance_scale": 8,
      "num_inference_steps": 25,
      "seed": 42
    }
  }'

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