Examples
A mesmerizing 3D render displaying a vibrant, dark fantasy-inspired birthday message for Mehtap. The letters 'Happy birthday' are written in a dreamy, pastel-colored cursive script, floating elegantly above a gradient background that transitions seamlessly from deep purple to soft pink. The dreamy atmosphere is accentuated by a vibrant swirling array of decorative elements, including a rainbow, heart-shaped objects in various sizes and textures, twinkling stars, and a collection of colorful, abstract shapes. The overall design pays homage to Ukiyo-e and graffiti art, creating a unique and captivating visual experience., 3d render, graffiti, vibrant, dark fantasy, typography, ukiyo-e, conceptual art
API
If you're looking for an API, you can choose from your desired programming language.
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import requests
api_key = "YOUR_API_KEY"
url = "https://api.segmind.com/v1/aura-flow"
# Prepare data and files
data = {}
files = {}
data['cfg'] = 5
data['seed'] = 2425367
data['shift'] = 1.73
data['steps'] = 25
data['width'] = 1024
data['height'] = 1024
data['prompt'] = "A mesmerizing 3D render displaying a vibrant, dark fantasy-inspired birthday message for Mehtap. The letters 'Happy birthday' are written in a dreamy, pastel-colored cursive script, floating elegantly above a gradient background that transitions seamlessly from deep purple to soft pink. The dreamy atmosphere is accentuated by a vibrant swirling array of decorative elements, including a rainbow, heart-shaped objects in various sizes and textures, twinkling stars, and a collection of colorful, abstract shapes. The overall design pays homage to Ukiyo-e and graffiti art, creating a unique and captivating visual experience., 3d render, graffiti, vibrant, dark fantasy, typography, ukiyo-e, conceptual art"
data['sampler'] = "uni_pc"
data['scheduler'] = "normal"
data['output_format'] = "webp"
data['output_quality'] = 80
data['negative_prompt'] = ""
data['number_of_images'] = 1
headers = {'x-api-key': api_key}
response = requests.post(url, data=data, files=files, headers=headers)
print(response.content) # The response is the generated imageAttributes
The guidance scale tells the model how similar the output should be to the prompt.
min : 0,
max : 20
Set a seed for reproducibility. Random by default.
The timestep scheduling shift; shift values higher than 1.0 are better at managing noise in higher resolutions.
min : 0,
max : 10
The number of steps to run the model for (more steps = better image but slower generation. Best results for this model are around 25 steps.)
min : 1,
max : 100
The width of the image
min : 512,
max : 2048
The height of the image
min : 512,
max : 2048
An enumeration.
Allowed values:
An enumeration.
Allowed values:
An enumeration.
Allowed values:
Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
min : 0,
max : 100
Things you do not want to see in your image
The number of images to generate
min : 1,
max : 10
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.
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.
Aura Flow
Aura Flow is a flow-based generation model, a powerful approach used in machine learning to explicitly model probability distributions. Unlike some other generative models, which might rely on complex architectures or adversarial training, redefining the possibilities of text-to-image synthesis.
Key Highlights
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Open-Source: Aura Flow is the largest fully open-sourced flow-based model, capable of transforming textual prompts into vivid visual representations.
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Text-to-Image Magic: AuraFlow seamlessly bridges language and pixels. Feed it a descriptive text, and it weaves intricate images—whether serene landscapes, fantastical creatures, or everyday scenes.
Other Popular Models
fooocus
Fooocus enables high-quality image generation effortlessly, combining the best of Stable Diffusion and Midjourney.
faceswap-v2
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training
sdxl-inpaint
This model is capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask
sd2.1-faceswapper
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training
