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Sample 4 Double Stack

by ModelsLab

Lora link

https://civitai.com/models/12427/old-school-shoujo

使用权重 150

Weights 150

https://civitai.com/models/9146/shaft-head-tilt-or-or-45-pose-lora

使用权重 1000

Weights 1000

最近两个月里,我把所有的精力都用在测试LORA上。但是测试的效率低下,一天里最多测试300个LORA。总之如果你也想探索未知,我可以提供一些经验。

首先LORA的类型

根据LORA训练时的标注,我将其分为扩散LORA和扩展LORA。接下来我会进行解释。

扩散LORA,这一类LORA在训练时使用了通用的标注词,如(1girl,solo)。或者训练时没有进行特别标注。

扩展LORA,我想这个就不用特别解释了吧。

LORA测试的方式

使用图生图进行测试。

In the past two months, I've put all my energy into testing Lora. However, the testing efficiency has been low, with a maximum of 300 Lora tested in a day. In short, if you also want to explore the unknown, I can share some experiences.

First, the types of Lora

According to the annotations during Lora training, I have divided it into diffusion Lora and extended Lora. Next, I will provide an explanation

Diffusion Lora, this type of Lora uses general labeling words during training, such as (1 girl, solo). Or there was no special labeling during training.

Expand Lora, I don't think this needs much explanation.

the method of Lora testing

Testing with image-to-image generation

sample4doublestack
Open Source ModelUnlimited UsageLLMs.txt
API PlaygroundAPI Documentation

Input

Select models...

Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.

Output

Idle

Unknown content type

About Sample 4 Double Stack

Lora linkhttps://civitai.com/models/12427/old-school-shoujo使用权重 150 Weights 150https://civitai.com/models/9146/shaft-head-tilt-or-or-45-pose-lora使用权重 1000Weights 1000最近两个月里,我把所有的精力都用在测试LORA上。但是测试的效率低下,一天里最多测试300个LORA。总之如果你也想探索未知,我可以提供一些经验。首先LORA的类型根据LORA训练时的标注,我将其分为扩散LORA和扩展LORA。接下来我会进行解释。扩散LORA,这一类LORA在训练时使用了通用的标注词,如(1girl,solo)。或者训练时没有进行特别标注。扩展LORA,我想这个就不用特别解释了吧。LORA测试的方式使用图生图进行测试。In the past two months, I've put all my energy into testing Lora. However, the testing efficiency has been low, wi

Technical Specifications

Model ID
sample4doublestack
Provider
Modelslab
Task
AI Generation
Price
$0.0047 per API call
Added
June 15, 2025

Quick Start

Integrate Sample 4 Double Stack into your application with a single API call. Get your API key from the pricing page to get started.

import requests
import json
url = "https://modelslab.com/api/v6/images/text2img"
headers = {
"Content-Type": "application/json"
}
data = {
"model_id": "sample4doublestack",
"prompt": "your prompt here",
"key": "YOUR_API_KEY"
}
try:
response = requests.post(url, headers=headers, json=data)
response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX)
result = response.json()
print("API Response:")
print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
print(f"Other error occurred: {err}")

View the full API documentation for SDKs, code examples in Python, JavaScript, and more.

Pricing

Sample 4 Double Stack API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans

Sample 4 Double Stack FAQ

Lora linkhttps://civitai.com/models/12427/old-school-shoujo使用权重 150 Weights 150https://civitai.com/models/9146/shaft-head-tilt-or-or-45-pose-lora使用权重 1000Weights 1000最近两个月里,我把所有的精力都用在测试LORA上。但是测试的效率低下,一天里最多测试300个LORA。总之如果你也想探索未知,我可以提供一些经验。首先LORA的类型根据LORA训练时的标注,我将其分为扩散LORA和扩展LORA。接下来我会进行解释。扩散LORA,这一类

You can integrate Sample 4 Double Stack into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "sample4doublestack" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

Sample 4 Double Stack costs $0.0047 per API call. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

The model ID for Sample 4 Double Stack is "sample4doublestack". Use this ID in your API requests to specify this model.

Yes, ModelsLab offers a free tier that lets you try Sample 4 Double Stack and other AI models. Sign up to get free API credits and start building immediately.