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')
# Use this function to convert a list of image URLs to base64
def image_urls_to_base64(image_urls):
return [image_url_to_base64(url) for url in image_urls]
api_key = "YOUR_API_KEY"
url = "https://api.segmind.com/v1/chillpixel-blacklight-makeup-sdxl-lora"
# Request payload
data = {
"prompt": "with blacklight makeup",
"negative_prompt": "boring, poorly drawn, bad artist, (worst quality:1.4), simple background, uninspired, (bad quality:1.4), monochrome, low background contrast, background noise, duplicate, crowded, (nipples:1.2), big breasts",
"scheduler": "UniPC",
"num_inference_steps": 25,
"guidance_scale": 8,
"samples": 1,
"seed": 3426017487,
"img_width": 1024,
"img_height": 1024,
"base64": False,
"lora_scale": 1
}
headers = {'x-api-key': api_key}
response = requests.post(url, json=data, headers=headers)
print(response.content) # The response is the generated imageAttributes
Prompt to render
Prompts to exclude, eg. 'bad anatomy, bad hands, missing fingers'
Type of scheduler.
Allowed values:
Number of denoising steps.
min : 20,
max : 100
Scale for classifier-free guidance
min : 0.1,
max : 25
Number of samples to generate.
min : 1,
max : 4
Seed for image generation.
Width of the image.
Allowed values:
Height of the Image
Allowed values:
Base64 encoding of the output image.
Scale of the lora
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.
Blacklight Makeup SDXL LoRA
Blacklight Makeup SDXL LoRA is built on the robust SDXL framework, enhanced with LoRA training. It's specifically fine-tuned to generate makeup designs that are not only visually striking but also perfectly suited for blacklight environments. This model bridges the gap between traditional makeup artistry and futuristic design, offering a new realm of creative possibilities.
Advantages
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Specialized in Blacklight Makeup: Tailored to create makeup designs that shine under blacklight, offering a unique visual experience.
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Creative Exploration:Ideal for experimenting with different styles, colors, and patterns in makeup design.
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High-Quality Imagery:: Generates crisp, clear, and detailed makeup designs, pushing the boundaries of digital artistry.
Use Cases
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Fashion and Beauty:Create avant-garde makeup looks for fashion shows, photoshoots, and beauty campaigns.
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Entertainment Industry:: Design unique makeup concepts for film, theatre, and music videos, especially those featuring blacklight effects.
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Digital Art and Design: A valuable tool for digital artists and graphic designers looking to incorporate makeup elements into their work.
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Educational Purposes: Teach and learn about the effects of blacklight on makeup in cosmetology courses.
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sdxl1.0-txt2img
The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software
