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ONE FOR ALL «Anime» - w/ ILLUSTRIOUS v 1.0 - v. Final thumbnail

ONE FOR ALL «Anime» - W/ ILLUSTRIOUS V 1.0 - V. Final

by ModelsLab

That's all folks!!

After thinking about it, I've come to the conclusion that I should do one last version for my SD 1.5 models. The point is that the time and money I've spent and the return I've received have led me to conclude that, once the older models were solidified, it doesn't matter if my model is better or not, I'm unlikely to win over fans of other models. What's more, I've reached a point where I no longer see a big enough evolution on my part in training 1.5 models to justify the time and money spent.

The FINAL model is the result of using the same Dataset that I used for the XL models:

ONE FOR ALL «Plus Ultra» - v 3 DPO+Pony | Stable Diffusion Checkpoint | Civitai

ONE FOR ALL «Pony Fantasy» DPO+VAE - v 2.0 DPO | Stable Diffusion Checkpoint | Civitai

So, in addition to the DPO, you can rely on some of the features of the Pony models. But remember, we're talking about SD 1.5 models, so don't expect the same result as an XL model.

About DPO (Direct Preference Optimization).

DPO fine-tune on datasets scored as highly visually appealing by an aesthetics classifier, to bias the model to visually appealing generations, while maintaining distributional guarantees and improving generic text-image alignment in addition to visual appeal. The training is via gradient descent, automatically validate checkpoints with the 500 unique prompts of the Pick-a-Pic validation set: measuring median PickScore reward of generated images. DPO scheme implicitly learns the differences in between images by taking an expectation over the inner term of the prompt.

So, DPO pay more attention on your prompt and try to generate a better image from it.

I'm very grateful to the authors of the Checkpoints and LoRAs used in the ONE FOR ALL series and I recommend everyone to visit them and appreciate their work (if your name isn't here, it's because any of your assets were been used):

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And to all those who in some way collaborated or encouraged this work, I affectionately offer this simple but sincere Special Thanks:

Special Thanks to those creators:

Special Thanks to my amazing followers:

AND YOU WHO IS AMAZING TO READ SO FAR HERE!! WOW!! 😱🤩💓

YOU ARE REALLY AMAZING!! THANK YOU VERY MUCH!! 🥰🥰🥰

one-for-all-anime-w-illustrious-v-1-0-v-final
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 ONE FOR ALL «Anime» - W/ ILLUSTRIOUS V 1.0 - V. Final

That's all folks!!After thinking about it, I've come to the conclusion that I should do one last version for my SD 1.5 models. The point is that the time and money I've spent and the return I've received have led me to conclude that, once the older models were solidified, it doesn't matter if my model is better or not, I'm unlikely to win over fans of other models. What's more, I've reached a point where I no longer see a big enough evolution on my part in training 1.5 models to justify the time

Technical Specifications

Model ID
one-for-all-anime-w-illustrious-v-1-0-v-final
Provider
Modelslab
Task
AI Generation
Price
$0.0047 per API call
Added
June 4, 2025

Quick Start

Integrate ONE FOR ALL «Anime» - W/ ILLUSTRIOUS V 1.0 - V. Final 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": "one-for-all-anime-w-illustrious-v-1-0-v-final",
"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

ONE FOR ALL «Anime» - W/ ILLUSTRIOUS V 1.0 - V. Final API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans

ONE FOR ALL «Anime» - W/ ILLUSTRIOUS V 1.0 - V. Final FAQ

That's all folks!!After thinking about it, I've come to the conclusion that I should do one last version for my SD 1.5 models. The point is that the time and money I've spent and the return I've received have led me to conclude that, once the older models were solidified, it doesn't matter if my mod

You can integrate ONE FOR ALL «Anime» - W/ ILLUSTRIOUS V 1.0 - V. Final into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "one-for-all-anime-w-illustrious-v-1-0-v-final" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

ONE FOR ALL «Anime» - W/ ILLUSTRIOUS V 1.0 - V. Final 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 ONE FOR ALL «Anime» - W/ ILLUSTRIOUS V 1.0 - V. Final is "one-for-all-anime-w-illustrious-v-1-0-v-final". Use this ID in your API requests to specify this model.

Yes, ModelsLab offers a free tier that lets you try ONE FOR ALL «Anime» - W/ ILLUSTRIOUS V 1.0 - V. Final and other AI models. Sign up to get free API credits and start building immediately.