Anime Illust Diffusion XL - V0.6
by ModelsLab新增了上百种画风。
我尝试了新的训练参数和训练策略，为此花费了大量的时间和金钱。这里是一些进展：
(i) 我开发了一种简单而独特的的模型融合算法用于稳定模型构图，并将它应用在了 v0.52 和 v0.6 版本的制作上；
(ii) 我开发了一套训练策略，用于解决如多类别数据训练中的数据不平衡等问题，您可以在模型介绍的英文部分中找到关于它的细节；
(iii) 我用很大的训练集测试了一些前沿的训练参数，例如金字塔噪声等。可惜的是，我仍未得到良好可用的结果。
New styles have been added.
I spent a lot of time and money trying new training parameters and training strategies. Here is the progress:
(i) I developed a simple but useful model merging algorithm to stabilize image composition. I applied it to make v0.52 and v0.6 versions;
(ii) I developed a training strategy to solve problems such as data imbalance in multi-category data training, you can find details in the English part of the model introduction;
(iii) I tested some advanced training parameters, such as pyramid noise, etc., with a relatively large training set. Unfortunately, I didn't get any good or usable result.
animeillustdiffusionxl-v06Input
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Unknown content type
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About Anime Illust Diffusion XL - V0.6
新增了上百种画风。我尝试了新的训练参数和训练策略，为此花费了大量的时间和金钱。这里是一些进展：(i) 我开发了一种简单而独特的的模型融合算法用于稳定模型构图，并将它应用在了 v0.52 和 v0.6 版本的制作上；(ii) 我开发了一套训练策略，用于解决如多类别数据训练中的数据不平衡等问题，您可以在模型介绍的英文部分中找到关于它的细节；(iii) 我用很大的训练集测试了一些前沿的训练参数，例如金字塔噪声等。可惜的是，我仍未得到良好可用的结果。New styles have been added.I spent a lot of time and money trying new training parameters and training strategies. Here is the progress:(i) I developed a simple but useful model merging algorithm to stabilize image composition. I applied it to make v0.52 and v0.6 versions;(ii)
Technical Specifications
- Model ID
- animeillustdiffusionxl-v06
- Provider
- Modelslab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- May 22, 2025
Quick Start
Integrate Anime Illust Diffusion XL - V0.6 into your application with a single API call. Get your API key from the pricing page to get started.
import requestsimport jsonurl = "https://modelslab.com/api/v6/images/text2img"headers = {"Content-Type": "application/json"}data = {"model_id": "animeillustdiffusionxl-v06","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
Anime Illust Diffusion XL - V0.6 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
Anime Illust Diffusion XL - V0.6 FAQ
新增了上百种画风。我尝试了新的训练参数和训练策略，为此花费了大量的时间和金钱。这里是一些进展：(i) 我开发了一种简单而独特的的模型融合算法用于稳定模型构图，并将它应用在了 v0.52 和 v0.6 版本的制作上；(ii) 我开发了一套训练策略，用于解决如多类别数据训练中的数据不平衡等问题，您可以在模型介绍的英文部分中找到关于它的细节；(iii) 我用很大的训练集测试了一些前沿的训练参数，例如金字塔噪声等。可惜的是，我仍未得到良好可用的结果。New styles have been added.I spent a lot of time and money trying new trainin
You can integrate Anime Illust Diffusion XL - V0.6 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "animeillustdiffusionxl-v06" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
Anime Illust Diffusion XL - V0.6 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 Anime Illust Diffusion XL - V0.6 is "animeillustdiffusionxl-v06". Use this ID in your API requests to specify this model.
Yes, ModelsLab offers a free tier that lets you try Anime Illust Diffusion XL - V0.6 and other AI models. Sign up to get free API credits and start building immediately.