POST
javascript
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 const axios = require('axios'); const api_key = "YOUR API-KEY"; const url = "https://api.segmind.com/v1/sdxl1.0-realdream-pony-v9"; const data = { "prompt": "score_9, score_8_up, score_7_up, portrait photo of mature woman from brasil, sitting in restaurant, sun set", "negative_prompt": "worst quality, low quality,cleavage,nfsw,naked, illustration, 3d, 2d, painting, cartoons, sketch", "samples": 1, "scheduler": "DPM++ 2M SDE Karras", "num_inference_steps": 25, "guidance_scale": 7, "seed": 968875, "img_width": 768, "img_height": 1152, "base64": false }; (async function() { try { const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } }); console.log(response.data); } catch (error) { console.error('Error:', error.response.data); } })();
RESPONSE
image/jpeg
HTTP Response Codes
200 - OKImage Generated
401 - UnauthorizedUser authentication failed
404 - Not FoundThe requested URL does not exist
405 - Method Not AllowedThe requested HTTP method is not allowed
406 - Not AcceptableNot enough credits
500 - Server ErrorServer had some issue with processing

Attributes


promptstr *

Prompt to render


negative_promptstr ( default: None )

(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth


samplesint ( default: 1 ) Affects Pricing

Number of samples to generate.

min : 1,

max : 4


schedulerenum:str ( default: DPM++ SDE )

Type of scheduler.

Allowed values:


num_inference_stepsint ( default: 25 ) Affects Pricing

Number of denoising steps.

min : 1,

max : 100


guidance_scalefloat ( default: 6 )

Scale for classifier-free guidance

min : 1,

max : 25


seedint ( default: -1 )

Seed for image generation.

min : -1,

max : 999999999999999


img_widthenum:int ( default: 1024 ) Affects Pricing

Can only be 1024 for SDXL

Allowed values:


img_heightenum:int ( default: 1024 ) Affects Pricing

Can only be 1024 for SDXL

Allowed values:


base64boolean ( default: 1 )

Base64 encoding of the output image.

To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.

RealDream Pony V9

Real Dream Pony V9 is an advanced image generation model that merges the Stable Diffusion XL (SDXL) architecture, excelling in photorealism. The model takes text prompts to produce highly realistic images, ideal for photography and digital art. This model builds on previous iterations for enhanced visual quality and detail.

  • Capabilities: Real Dream Pony V9 excels in producing highly photorealistic images with meticulously realistic lighting, making it an ideal tool for photographers and digital artists seeking to create lifelike visuals. The model supports various samplers and CFG scales, allowing users to adjust the quality and performance according to their specific needs.

  • Creators: The Real Dream Pony V9 model was developed by an individual or team of creators known as "sinatra." The developers have focused on refining and enhancing the model to achieve superior photorealism and lighting effects.

  • Training Data: The model’s training data comprises images sourced from several notable projects like Realistic Vision, RealVisXL, and epiCRealism.These datasets contribute significantly to the model’s ability to generate highly realistic images.

  • Technical Architecture: Real Dream Pony V9 is built on the base model architecture of Stable Diffusion XL (SDXL), a variant optimized for larger image generation tasks. The SDXL architecture facilitates complex image synthesis, enabling the model to maintain high levels of detail and realism in its outputs.

  • Strengths: The model is adept at generating images that are strikingly realistic.Its ability to manage lighting effectively enhances the photorealism of the images.Its flexibility with various samplers and CFG scales provides users with customizable options for image quality and computational performance.

How to use the model?

Enter a detailed description of the image in the "Prompt" text box. Put a seed value in the "seed" box for reproducibility or enable the "Randomize Seed" toggle for randomness. Click on "Advanced Parameters" for more customization options.In the "Negative Prompt" field, indicate any unwanted elements in the image. Select a scheduler option from the dropdown, e.g., "DPM++ SDE." Indicate the number of steps for the generation process. Fine-tune image adherence to your text prompt with the guidance scale. et the output image dimensions using "img_width" and "img_height."Click "Generate" to create your image.