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Pony: People's Works v1-v6 - v2_ani3.1 thumbnail

Pony: People'S Works V1-V6 - V2 Ani3.1

by ModelsLab

Base model: Animagine v3.1

batch size=12

dimension=32 conv_dim=8

alpha=16 conv_alpha=2

learning rate: U-net lr=6e-4 Te lr=2e-4

optimizer: AdamW

训练策略:

训练数据集:374张Cvitai上的pony v6图片,393张正则图片

训练总共21个epoch,每个epoch中重复5次训练图片、2次正则图片

使用了 cosine with restarts 调度器,第一个epoch(323步)作为预热;剩余的20个epoch分为5个循环,每个循环中有4个epoch(也就是说每个cycle里训练了20次训练图片)

每张图片训练了5+5×4×5=105次。

Training strategy:

Training dataset: 374 selected pony v6 pics from Civitai, 393 regularization images

Trained 21 epochs, each epoch repeated training training data 5 times and reg data 2 times.

Applied cosine with restarts scheduler, first 1 epoch (323 steps) for warmup and divided rest 20 epochs into 5 cycles, each cycle contained 4 epochs (training images were trained 20 times per cycle).

Trained 5+5×4×5=105 times for one pic totally.

pony-people-s-works-v1-v6-v2-ani3-1
Open Source ModelUnlimited UsageLLMs.txt
API PlaygroundAPI Documentation

Input

pony-people-s-works-v1-v6-v2-ani3-1

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 Pony: People'S Works V1-V6 - V2 Ani3.1

Base model: Animagine v3.1batch size=12dimension=32 convdim=8alpha=16 convalpha=2learning rate: U-net lr=6e-4 Te lr=2e-4optimizer: AdamW训练策略:训练数据集:374张Cvitai上的pony v6图片,393张正则图片训练总共21个epoch,每个epoch中重复5次训练图片、2次正则图片使用了 cosine with restarts 调度器,第一个epoch(323步)作为预热;剩余的20个epoch分为5个循环,每个循环中有4个epoch(也就是说每个cycle里训练了20次训练图片)每张图片训练了5+5×4×5=105次。Training strategy: Training dataset: 374 selected pony v6 pics from Civitai, 393 regularization imagesTrained 21 epochs, each epoch repeated training tr

Technical Specifications

Model ID
pony-people-s-works-v1-v6-v2-ani3-1
Provider
Modelslab
Task
AI Generation
Price
$0.0047 per API call
Added
June 4, 2025

Quick Start

Integrate Pony: People'S Works V1-V6 - V2 Ani3.1 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": "pony-people-s-works-v1-v6-v2-ani3-1",
"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

Pony: People'S Works V1-V6 - V2 Ani3.1 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans

Pony: People'S Works V1-V6 - V2 Ani3.1 FAQ

Base model: Animagine v3.1batch size=12dimension=32 conv_dim=8alpha=16 conv_alpha=2learning rate: U-net lr=6e-4 Te lr=2e-4optimizer: AdamW训练策略:训练数据集:374张Cvitai上的pony v6图片,393张正则图片训练总共21个epoch,每个epoch中重复5次训练图片、2次正则图片使用了 cosine with restarts 调度器,第一个epoch(323步)作为预热;剩余的20个epoch分为5个循环,每个循环中有4

You can integrate Pony: People'S Works V1-V6 - V2 Ani3.1 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "pony-people-s-works-v1-v6-v2-ani3-1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

Pony: People'S Works V1-V6 - V2 Ani3.1 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 Pony: People'S Works V1-V6 - V2 Ani3.1 is "pony-people-s-works-v1-v6-v2-ani3-1". Use this ID in your API requests to specify this model.

Yes, ModelsLab offers a free tier that lets you try Pony: People'S Works V1-V6 - V2 Ani3.1 and other AI models. Sign up to get free API credits and start building immediately.