ModelsLab/ Sample 4 Double Stack

sample4doublestack

Text to Image Community ModelFree for Premium Users LLMs.txt

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

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": "sample4doublestack",
  "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"
}

SDKs

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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