Stable Diffusion 3 Large Text to Image
Stable Diffusion is a type of latent diffusion model that can generate images from text. It was created by a team of researchers and engineers from CompVis, Stability AI, and LAION. Stable Diffusion v2 is a specific version of the model architecture. It utilizes a downsampling-factor 8 autoencoder with an 865M UNet and OpenCLIP ViT-H/14 text encoder for the diffusion model. When using the SD 2-v model, it produces 768x768 px images. It uses the penultimate text embeddings from a CLIP ViT-H/14 text encoder to condition the generation process.
1import requests
2import json
3
4url = "https://api.segmind.com/v1/stable-diffusion-3-large-txt2img"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "prompt": "A whimsical and high-resolution highly realistic image of a panda in a vintage cosmonaut suit. The panda is holding a sign that reads 'I love flying to the moon!' in playful lettering. The panda's helmet has a small propeller on top and a Indian flag patch, adding to the cosmic vibe. The background features a retro-styled spaceship with rockets and stars, giving the impression of a thrilling journey through space",
12 "mode": "text-to-image",
13 "aspect_ratio": "1:1",
14 "output_format": "jpeg",
15 "base64": false,
16 "negative_prompt": "ugly, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft"
17}
18
19response = requests.post(url, headers=headers, json=data)
20
21if response.status_code == 200:
22 result = response.json()
23 print(json.dumps(result, indent=2))
24else:
25 print(f"Error: {response.status_code}")
26 print(response.text) 1import requests
2import json
3
4url = "https://api.segmind.com/v1/stable-diffusion-3-large-txt2img"
5headers = {
6 "x-api-key": "YOUR_API_KEY",
7 "Content-Type": "application/json"
8}
9
10data = {
11 "prompt": "A whimsical and high-resolution highly realistic image of a panda in a vintage cosmonaut suit. The panda is holding a sign that reads 'I love flying to the moon!' in playful lettering. The panda's helmet has a small propeller on top and a Indian flag patch, adding to the cosmic vibe. The background features a retro-styled spaceship with rockets and stars, giving the impression of a thrilling journey through space",
12 "mode": "text-to-image",
13 "aspect_ratio": "1:1",
14 "output_format": "jpeg",
15 "base64": false,
16 "negative_prompt": "ugly, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft"
17}
18
19response = requests.post(url, headers=headers, json=data)
20
21if response.status_code == 200:
22 result = response.json()
23 print(json.dumps(result, indent=2))
24else:
25 print(f"Error: {response.status_code}")
26 print(response.text)API Endpoint
https://api.segmind.com/v1/stable-diffusion-3-large-txt2imgParameters
aspect_ratiooptionalstringaspect_ratio
"1:1""16:9""1:1""21:9""2:3""3:2""4:5""5:4""9:16""9:21"base64optionalbooleanBase64 encoding of the output image.
falsemodeoptionalstringType of mode.
"text-to-image""text-to-image""image-to-image"negative_promptoptionalstringPrompts to exclude, eg. 'bad anatomy, bad hands'
""output_formatoptionalstringOutput format.
"jpeg""jpeg""png"promptoptionalstringPrompt to render
Response Type
Returns: Text/JSON
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out