ModelsLab/Dark Haunted Fantasy - V5.0 HD+

dark-haunted-fantasy-v5-0-hd

Text to Image Community ModelFree for Premium Users LLMs.txt

About this versionVersion 5 represents another significant enhancement.Version 5 Training:Version 5 is trained at twice the resolution of versin 4 and four times the resolution used in versions 1-3.Version 5 underwent 91 epochs of training , 9 fewer then version 4 but more steps due to the larger dataset.A higher rank, 16, was utilized to enhance the model s ability to discern intricate details.Version 5 Dataset:The source images for Version 5 were retrieved from the original sources (no AI-generated images were utilized in the dataset). Each image is either a high-quality, exceptionally high-resolution source image or a composite image created by meticulously combining high-quality, exceptionally high-resolution source images with extensive photoshopping techniques to produce a high-quality digital artwork tailored to showcase specific visual elements for the LORA s training.Version 5 is an expanded version of Version 4, encompassing a wider range of surreal imagery and more detailed examples.I created Version 5 to include images with twice the resolution of Versions 4. Four times the resolution of Versions 2, and Versions 1. This enhancement ensures that smaller details are in resolution. (I manually scale the images to control the specific scaling algorithm that best aligns with the intended use case, guaranteeing optimal image quality in the dataset.) No images were upscaled, only downscaled from higher-resolution source images.I was really worried that version 5 would come out poorly because it again doubles the resolution of the dataset and the resolution the LORA is trained at. It also doubles the rank (to 16) and increases the number of points in images in the dataset (almost double).I have seen many articles, websites, etc., that warn of problems when the dataset gets this large, causing issues and the risk of teaching the LORA unintended lessons (it learns more details at the higher ranks, so if you have smaller quality issues with your dataset that didn't get picked up at the lower rank, they may be learned at the higher ranks). It is also easier to overfit the model if you do not have a diverse enough dataset or you train the model for too long.Testing has yielded impressive results, and I am extremely pleased with the results.

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": "fluxdev",
  "lora_model": "dark-haunted-fantasy-v5-0-hd",
  "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