API
If you're looking for an API, you can choose from your desired programming language.
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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/inpaint-auto"
# Request payload
data = {
"image": image_url_to_base64("https://segmind-sd-models.s3.amazonaws.com/outputs/inpaint_auto.jpeg"), # Or use image_file_to_base64("IMAGE_PATH")
"prompt": "woman in space suit , underwater, full body, floating in water, air bubbles, detailed eyes, deep sea in background, water surface, god ray, fish",
"negative_prompt": "disfigured, deformed, ugly",
"samples": 1,
"base_model": "SDXL",
"cn_model": "Depth",
"cn_processor": "DPM++ 2M SDE Karras",
"scheduler": "DPM++ 2M SDE Karras",
"num_inference_steps": 25,
"guidance_scale": 7,
"seed": 12467,
"strength": 0.9,
"base64": False
}
headers = {'x-api-key': api_key}
response = requests.post(url, json=data, headers=headers)
print(response.content) # The response is the generated imageAttributes
Input Image.
Mask Image
Prompt to render
Prompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'
Number of samples to generate.
min : 1,
max : 4
Type of SDXL Model
Allowed values:
Type of Controlnet Model
Allowed values:
Preprocessor for controlnet
Allowed values:
Type of scheduler.
Allowed values:
Number of denoising steps.
min : 20,
max : 100
Scale for classifier-free guidance
min : 1,
max : 25
Seed for image generation.
min : -1,
max : 999999999999999
Scale for classifier-free guidance
min : 0,
max : 0.99
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.
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.
SDXL Inpainting Auto
SDXL Inpainting Auto is a cutting-edge AI tool designed to revolutionize the way you transform images. It offers unparalleled precision and versatility in inpainting, allowing you to add or change backgrounds in any image effortlessly.
SDXL Inpainting Auto provides two sophisticated methods for background replacement:
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Using Inpainting Mask: This method allows for precise control over the areas to be inpainted, enabling users to seamlessly add or alter backgrounds with accuracy.
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Using Inpainting with ControlNet: ControlNet enhances the inpainting process by clearly defining the foreground and background areas. This results in images with distinct separation between elements, lending the model its 'Auto' designation for its automated precision.
Key Features:
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Dual Inpainting Methods: Choose between Inpainting Mask and ControlNet-based inpainting for tailored background editing.
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Clear Foreground-Background Separation: Achieve crisp distinction between image elements, enhancing overall composition.
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Integration with SDXL Models: Compatible with Real Vision XL, Dreamshaper XL, and Jaggurnaut XL, expanding creative possibilities.
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High-Quality Results: Produces visually stunning and coherent images, thanks to the power of SDXL.
Applications:
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Photography Editing: Enhance or change photo backgrounds for professional or personal projects.
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Graphic Design: Create compelling designs with custom backgrounds.
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Digital Art: Experiment with different artistic backgrounds to bring your digital artworks to life.
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Educational Tools: Teach advanced concepts in digital image editing and manipulation.
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Advertising and Marketing: Produce eye-catching images with distinct foreground and background elements for campaigns.
Other Popular Models
sdxl-controlnet
SDXL ControlNet gives unprecedented control over text-to-image generation. SDXL ControlNet models Introduces the concept of conditioning inputs, which provide additional information to guide the image generation process
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
codeformer
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
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
