ModelsLab/MyBreastHelper - MBHU-TT2F

mybreasthelper-mbhutt2f

Text to Image Community ModelFree for Premium Users LLMs.txt

I thought I was done with this. There have been 5 main improvements/additions. Everything from total torso remains the same but I was unhappy with the eyes I was getting, freckles were showing up like painted on dots, pubic hair was unreliable and fake looking most times, and faces were suffering likely due to all the cropped-out chins from the other training images. Tattoos were simply something I have considered in the past.

Best overall lora weight is 0.8 in my testing and you will still want to start with a lower trigger weight on tags like "face freckles" and "hairy pussy". Hairy pussy is capable of going from stubble to Wookie.

Body tattoos will range from sleeve tattoos only, then chest, then stomach. (usually)

I included the eye color tags simply to show which were baked in but with an added bonus, "2tn eyes" If you know someone with hazel eyes or they say their eyes change color, these are those eyes. It's tricky to get a specific combination but even used by itself can result in a much more dynamic eye color.

The fifth improvement is a more subtle one. There are no triggers for it. twenty-six images of high resolution (1080 and higher) portraits were added with full BLIP captioning. Portraits of actresses and completely random people also.

The overall dataset image count without counting regularization images is now at 1325. I don't currently have any plans to add anything else to this project, but that's what I thought last time.

(For anyone wondering, the F in the name is simply my way of tracking how many times I tried different training methods, this was my 6th attempt at this version.

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": "epicrealism-v4",
  "lora_model": "mybreasthelper-mbhutt2f",
  "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

Official SDKs

Production-ready SDKs and client libraries for all major programming languages

JavaScript

Python

PHP

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