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KM_MIX byproduct - 6-5KmMix A thumbnail

ModelsLab/KM MIX Byproduct - 6-5KmMix A

kmmixbyproduct-65kmmixa
Text to Image Community ModelFree for Premium UsersLLMs.txt

Lora 是未来模型混合化的方向。我在分类素材以及融合尝试上浪费了好几天时间,虽然有所收获但效果仍然不如使用LORA混合

Lora is the direction of future model hybridization. I wasted several days on material classification and fusion attempts. Although I gained some results, the effect is still not as good as using Lora hybrid.

关于这个模型:最近我又开始尝试混合不同风格,但这太难了。你可能发现了我混合的模型都很怪异,我推测这些模型因为强化某些特征而失去了太多其他元素,因此导致了模型的适用性下降。总之我开始尝试拼接这些特征,可是我不可能像拼积木一样轻松完成混合。这是我尝试了很多次后得到的模型,或许我找到了一些方法,但这仍然需要大量时间验证。

About this model: Recently, I have started to experiment with blending different styles, but it is very difficult. You may have noticed that the models I blend are all strange. I speculate that these models lose too many other elements because they reinforce certain features, resulting in a decrease in the applicability of the models. In short, I started to try to concatenate these features, but I cannot easily complete the blending like building blocks. This is the model I obtained after many attempts. Perhaps I have found some methods, but it still requires a lot of time for verification. In short, I started to try to concatenate these features, but I cannot easily complete the blending like building blocks. This is the model I obtained after many attempts. Perhaps I have found some methods, but it still requires a lot of time for verification.

使用素材:https://civitai.com/models/89004/amb12?modelVersionId=94718 我在两个月前尝试提取该模型特征,但不是很适用。

I attempted to extract the features of this model two months ago, but it was not very applicable.

值得注意的是现在混合的模型都含有LORA的元素,而且很难被发现。

It is worth noting that the current mixed models all contain elements of lora, and it is difficult to be discovered.

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": "kmmixbyproduct-65kmmixa",
"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