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- V1.3 - Pruned thumbnail

ModelsLab/ V1.3 - Pruned

v13pruned
Text to Image Community ModelFree for Premium UsersLLMs.txt

About this version

Hi people!
I've a lot to say about this new version, and I really hope to remember all, eventually I'll modify in the future this change note.

First of all, this is a new total training, but merged with previous version of Aniverse, you'll understand why later.

I've do the training training to push at the limit of Stable Diffusion 1.5 (and my poor PC)
This model is trained at 1024x1024 pixel (the models before was at 768x768).
It was great, but to much "artefacts" at low resolution, so I preferred to do a merge with Aniverse 1.2.

I think the result is very good, but you'll decide, I really hope that you like it.
You don't need any more use the option HiRes.Fix (until a certain resolution, I saw that at 1280x720 it still work good, you can push at 1366x768 but sometimes it give you some problems).
Usually I use 512x904 and Adetailer, after when if I got a good image, I put it in 4x Ultrasharp tool

In model description I changed a little bit the Positive and Negative prompt, so check it out :)

Question: Now... why I put in "early preview" my model?

Answer:

  • Because I spent over 650 hours of training ( I don't remember if 20 or 22 days), and I hope that you can support me using my Ko-Fi page, where you can "buy" the new model. (if you have already a subscription in civitai, you can download it from here, I don't want that you pay twice)

  • For give to my supporters a "plus" to try the new models before the others.

I really hope that you can understand that I'm not looking to become "rich" selling my model, but I'm trying to figurate out how to pay the electricity bill :), nothing else.

So if you don't want be a my supporter, no problem, really :), wait only a couple of days more, to download the new version.

Enjoy!

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": "v13pruned",
"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