Total runs:
3.6K
Run Growth:
-6.5K
Growth Rate:
-182.44%
Sponsored by
PostMcpAi
imagepipeline / InteriorDesign-Checkpoint
Model's Last Updated: December 12 2023
text-to-image
Introduction of InteriorDesign-Checkpoint
Model Details of InteriorDesign-Checkpoint
InteriorDesign-Checkpoint
This checkpoint model is uploaded on imagepipeline.io
Model details - For modern house interiors
How to try this model ?
You can try using it locally or send an API call to test the output quality.
Get your
API_KEY
from
imagepipeline.io
. No payment required.
Coding in
php
javascript
node
etc ? Checkout our documentation
import requests
import json
url = "https://imagepipeline.io/sd/text2image/v1/run"
payload = json.dumps({
"model_id": "b9835385-ba9e-4c0e-9556-904292516016",
"prompt": "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K",
"negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",
"width": "512",
"height": "512",
"samples": "1",
"num_inference_steps": "30",
"safety_checker": false,
"guidance_scale": 7.5,
"multi_lingual": "no",
"embeddings": "",
"lora_models": "",
"lora_weights": ""
})
headers = {
'Content-Type': 'application/json',
'API-Key': 'your_api_key'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
}
Get more ready to use
MODELS
like this for
SD 1.5
and
SDXL
:
API Reference
Generate Image
https://api.imagepipeline.io/sd/text2image/v1
| Headers | Type | Description |
|---|---|---|
API-Key
|
str
|
Get your
API_KEY
from
imagepipeline.io
|
Content-Type
|
str
|
application/json - content type of the request body |
| Parameter | Type | Description |
|---|---|---|
model_id
|
str
|
Your base model, find available lists in models page or upload your own |
prompt
|
str
|
Text Prompt. Check our Prompt Guide for tips |
num_inference_steps
|
int [1-50]
|
Noise is removed with each step, resulting in a higher-quality image over time. Ideal value 30-50 (without LCM) |
guidance_scale
|
float [1-20]
|
Higher guidance scale prioritizes text prompt relevance but sacrifices image quality. Ideal value 7.5-12.5 |
lora_models
|
str, array
|
Pass the model_id(s) of LoRA models that can be found in models page |
lora_weights
|
str, array
|
Strength of the LoRA effect |
license: creativeml-openrail-m tags:
- imagepipeline
- imagepipeline.io
- text-to-image
- ultra-realistic pinned: false pipeline_tag: text-to-image
Feedback
If you have any feedback, please reach out to us at [email protected]
🔗 Visit Website
If you are the original author of this model, please click here to add credits
Runs of imagepipeline InteriorDesign-Checkpoint on huggingface.co
1
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-4
30-day runs
More Information About InteriorDesign-Checkpoint huggingface.co Model
Url of InteriorDesign-Checkpoint
InteriorDesign-Checkpoint huggingface.co Url
Provider of InteriorDesign-Checkpoint huggingface.co
Other API from imagepipeline
Updated:December 04 2024
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