ModelsLab/Simple And Efficient Model Mixing Method - Sample 5 Art Style Stack

simple-and-efficient-model-mixing-method-5-art-style-stack

Text to Image Community ModelFree for Premium Users LLMs.txt

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

权重150 Weight 150

https://civitai.com/models/6304?modelVersionId=7387

权重650 Weight 650

原计划上传一个训练错误的LORA混合样本，不过这个组合也很不错。

Noob-leyon LORA训练时出现了错误，我会上传一个图片进行演示。这个现象其实很常见，大部分的LORA都不满足混合的最低标准，据我观察合格率大概有百分之一。

以下是混合中LORA的常见表现

LORA未完整学习，LORA学习深度不足，LORA错误学习。还有一部分LORA训练标注有问题，总之，早期LORA存在很多很多的不足，我希望现在的LORA已经有所改善。

但是在那之前我需要想办法解决提示词标注同类化造成的混合稀释，嗯看起来完全不可能做到。

I originally planned to upload a training error lora mixed sample, but this combination is also quite good

noob - an error occurred during the training of leyon lora, and I will upload an image to demonstrate. This phenomenon is actually quite common; most lora do not meet the minimum standards for mixing. From my observations, the pass rate is about 1 percent.

Here are the common manifestations of mixed Lora.

Lora has not fully learned, the depth of Lora's learning is insufficient, and there are errors in Lora's learning. Additionally, some of the training annotations for Lora have issues. In short, there were many shortcomings in the early stages of Lora, and I hope that the current version of Lora has improved.

But before that, I need to find a way to address the mixed dilution caused by the homogenization of prompt labeling, which seems completely impossible to achieve

API Playground API Documentation

API Endpoint URL

Base URL for all API requests to this endpoint.

https://modelslab.com/api/v6/images/text2img

API Authentication

Authentication requires a valid API key included in the request. Generate and manage your API keys from your developer dashboard. Include the key in the key parameter for all API requests.

Integration Examples

Production-ready code samples for API integration

{
  "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro",
  "model_id": "simple-and-efficient-model-mixing-method-5-art-style-stack",
  "lora_model": [],
  "width": "1024",
  "height": "1024",
  "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry",
  "num_inference_steps": "31",
  "scheduler": "DPMSolverMultistepScheduler",
  "guidance_scale": "7.5",
  "enhance_prompt": false,
  "key": "YOUR_API_KEY"
}

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API Parameters

Technical specifications for API request parameters.

Field Name	Parameter	Technical Description
prompt	`prompt`	prompt help in image generation
Model	`model_id`	Enter model_id that can help in image generation
lora Model	`lora_model`	No description available
Width	`width`	width of the image
Height	`height`	height of the image
Negative Prompt	`negative_prompt`	Negative prompt help in avoid things that you do not want in image
Steps	`num_inference_steps`	Number of inference steps
Scheduler	`scheduler`	Sampling scheduler
Guidance Scale	`guidance_scale`	How closely to follow the prompt (1-10)
enhance_prompt	`enhance_prompt`	Automatically enhance the prompt