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Experience - eXp_6.0 thumbnail

ModelsLab/Experience - EXp 6.0

experience-exp60
Text to Image Community ModelFree for Premium UsersLLMs.txt

Model was merged using a combination of checkpoint mergers, block mergers, and CLIP/UNet swapping.

VAE is baked into the model, therefore VAE is not a requirement

I still recommend running VAE alongside this model, due to insufficient data VAE injections.
Link for the VAE I use - https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main

Models used in merge:

Note: The merging method I used was unconventional, so I can't provide an exact recipe. One tip I can give to get something similar to this, would be to make a "ema only" inference model from an existing, popular dreambooth model.(I recommend checking to make sure it doesn't have broken tensors first.) Use this For example; f222-pruned-emaonly. Use this model in your Tertiary position in the checkpoint merger when using "Add Difference". I wouldn't use this for every merge, only when it's appropriate. Based off my F222 example, this would be when the Mixed model you're merging is known to have F222 weights.

API PlaygroundAPI 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": "experience-exp60",
"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

Official SDKs

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

API Parameters

Technical specifications for API request parameters.

Field NameParameterTechnical Description
promptpromptprompt help in image generation
Modelmodel_idEnter model_id that can help in image generation
lora Modellora_modelNo description available
Widthwidthwidth of the image
Heightheightheight of the image
Negative Promptnegative_promptNegative prompt help in avoid things that you do not want in image
Stepsnum_inference_stepsNumber of inference steps
SchedulerschedulerSampling scheduler
Guidance Scaleguidance_scaleHow closely to follow the prompt (1-10)
enhance_promptenhance_promptAutomatically enhance the prompt