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/sd1.5-dreamshaper"
# Request payload
data = {
"prompt": "(masterpiece, best quality, absurdres, intricate), fantasy, (woman, extremely delicate and beautiful, looking at viewer, (floating long hair)), (standing over tiny village), colorhalf00d, fog, smoke, haunting, spooky, creepy, dark themed, 8k GC wallpaper, Trending on artstation, octance render, unreal engine, volumetrics dtx, award winning digital art, ink, official art, painting by anna dittmann",
"negative_prompt": "cartoon, 3d, sketches, (painting by bad-artist), (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, bad anatomy, (bad-hands-5), (badhandv4), fat, curvy, thick, dull, simple background, ugly, mole, skin tags, acne, freckles, lightning. veil, hat, hood, ((blurry)), ((monochrome)), ((from side)), ((back turned)), Far away, back turned,",
"scheduler": "dpmpp_2m",
"num_inference_steps": 20,
"guidance_scale": 7,
"samples": 1,
"seed": 165577282,
"img_width": 512,
"img_height": 768,
"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
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.
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.
Dreamshaper
Built on the robust framework of Stable Diffusion 1.5, Dreamshaper excels in delivering high-quality, detailed images. Its advanced algorithms are fine-tuned to understand and interpret a diverse range of artistic styles and subjects, ensuring that each creation is not only unique but also visually striking.
Advantages
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Diverse Image Generation: Specializes in creating anime, landscapes, and photorealistic images.
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High-Quality Outputs: Produces detailed and visually appealing images.
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Creative Flexibility: Offers endless possibilities for artistic exploration and creative expression.
Use Cases
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Entertainment Industry:Useful for generating visuals for animation, video games, and film pre-production.
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Marketing and Advertising: Create eye-catching images for campaigns, social media, and promotional materials.
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Artistic Projects: Generate unique space-themed artwork for exhibitions, digital art, or personal collections.
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Art and Design: Artists and designers can create unique artworks, concept art, and designs.
Other Popular Models
sdxl-img2img
SDXL Img2Img is used for text-guided image-to-image translation. This model uses the weights from Stable Diffusion to generate new images from an input image using StableDiffusionImg2ImgPipeline from diffusers
fooocus
Fooocus enables high-quality image generation effortlessly, combining the best of Stable Diffusion and Midjourney.
face-to-many
Turn a face into 3D, emoji, pixel art, video game, claymation or toy
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
