Zavychroma SDXL

The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software.

Playground

Try the model in real time below.

output image


Examples

Check out what others have created with Zavychroma SDXL
Example preview

An astronaut riding a rainbow unicorn, cinematic, dramatic

seed: 5645189598guidance_scale: 7

API

If you're looking for an API, you can choose from your desired programming language.

POST
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 28 29 30 31 32 33 34 35 36 import requests import base64 # Use this function to convert an image file from the filesystem to base64 def image_file_to_base64(image_path): with open(image_path, 'rb') as f: image_data = f.read() return base64.b64encode(image_data).decode('utf-8') # Use this function to fetch an image from a URL and convert it to base64 def image_url_to_base64(image_url): response = requests.get(image_url) image_data = response.content return base64.b64encode(image_data).decode('utf-8') api_key = "YOUR_API_KEY" url = "https://api.segmind.com/v1/sdxl1.0-zavychroma" # Request payload data = { "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "negative_prompt": "(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, anime, illustration, sketch, 3d, vector art, cartoon, painting", "samples": 1, "scheduler": "Euler a", "num_inference_steps": 35, "guidance_scale": 7, "seed": 5645189598, "img_width": 896, "img_height": 1152, "base64": False } headers = {'x-api-key': api_key} response = requests.post(url, json=data, headers=headers) print(response.content) # The response is the generated image
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 )

Prompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'


samplesint ( default: 1 ) Affects Pricing

Number of samples to generate.

min : 1,

max : 4


schedulerenum:str ( default: DPM2 Karras )

Type of scheduler.

Allowed values:


num_inference_stepsint ( default: 25 ) Affects Pricing

Number of denoising steps.

min : 20,

max : 100


guidance_scalefloat ( default: 7.5 )

Scale for classifier-free guidance

min : 1,

max : 25


seedint ( default: -1 )

Seed for image generation.

min : -1,

max : 999999999999999


img_widthint ( default: 1024 ) Affects Pricing

Image width can be between 512 and 2048 in multiples of 8


img_heightint ( default: 1024 ) Affects Pricing

Image height can be between 512 and 2048 in multiples of 8


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.


Pricing

Serverless Pricing

Buy credits that can be used anywhere on Segmind

$ 0.0015 /per second

Dedicated Cloud Pricing

For enterprise costs and dedicated endpoints

$ 0.0007 - $ 0.0031 /per second
FEATURES

PixelFlow allows you to use all these features

Unlock the full potential of generative AI with Segmind. Create stunning visuals and innovative designs with total creative control. Take advantage of powerful development tools to automate processes and models, elevating your creative workflow.

Segmented Creation Workflow

Gain greater control by dividing the creative process into distinct steps, refining each phase.

Customized Output

Customize at various stages, from initial generation to final adjustments, ensuring tailored creative outputs.

Layering Different Models

Integrate and utilize multiple models simultaneously, producing complex and polished creative results.

Workflow APIs

Deploy Pixelflows as APIs quickly, without server setup, ensuring scalability and efficiency.

Zavychroma SDXL

Zavychroma SDXL emerges as the natural successor to the ZavyMix SD1.5 model, now reimagined for the SDXL framework. This model line is a testament to the seamless integration of magic and realism, a signature style that ZavyMix fans have come to love. With its transition to SDXL, Zavychroma SDXL promises not only a continuation of this unique aesthetic but also significant enhancements in image quality and coherence, especially in intricate details like eyes and teeth.

Advantages

  1. Enhanced Realism: Improved rendering of realistic details, particularly in complex areas like eyes and teeth.

  2. Refiner-Free Excellence: Delivers high-quality results without relying on a refiner, streamlining the creative process.

Use Cases

  1. Digital Art:Artists can create stunning compositions that blend fantasy and reality.

  2. Graphic Design: Designers can infuse magical elements into their work for unique branding and visual storytelling.

  3. Entertainment Industry: Filmmakers and game developers can utilize this model for concept art and visual effects that require a blend of the fantastical and the real.

F.A.Q.

Frequently Asked Questions

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