巨兵长城传 - V2.0

thegreatwarriorwall-v20

Text to Image Community ModelFree for Premium Users LLMs.txt

该版本使用0.5 fluffyrock_e247+ 0.5 animefull ，使用consineB模式融合的模型为底膜，采用了全标的方式进行训练，具有较好的泛化性和还原性。在furry为主的模型上（如indigo/rockyKemono等）建议权重0.7，在二次元为主的模型上（如awpting/anything V5等）建议权重1。

建议提示词：

jubing,xiaoye,furry,wolf boy,headband,blue eyes,topless,,bandaged arm,tail_belt,necklace,pants,

jubing,bingliu,blue eyes,long ears,blue shirt,

jubing,luniang,furry_female,blue_antlers,blue dress,purple_eyes,blonde hair,jewelry,mole_under_eye,cleavage cutout,wide_sleeves,

jubing, xiyue, sleeveless, furry female,1girl, scarf, purple eyes, jewelry, feathers ,solo, clothing, cat_girl, yellow fur ,

jubing, luge,deer_ears, headband,furry_male, green_eyes,

jubing,dake_raccoon

jubing,flying_crab, yellow_eyes,

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This version uses 0.5 fluffyrock_e247 + 0.5 animefull, with a model fused using the cosineB mode as the base, and trained using a fully labeled approach, resulting in good generalization and restoration. For models mainly focused on furry (such as indigo/rockyKemono, etc.), a weight of 0.7 is recommended. For models mainly focused on 2D (such as awapting/anything V5, etc.), a weight of 1 is recommended.

Suggested prompts:

- jubing, xiaoye, furry, wolf boy, headband, blue eyes, topless, bandaged arm, tail_belt, necklace, pants

- jubing, bingliu, blue eyes, long ears, blue shirt

- jubing, luniang, furry_female, blue_antlers, blue dress, purple_eyes, blonde hair, jewelry, mole_under_eye, cleavage cutout, wide_sleeves

- jubing, xiyue, sleeveless, furry female, 1girl, scarf, purple eyes, jewelry, feathers, solo, clothing, cat_girl, yellow fur

- jubing, luge, deer_ears, headband, furry_male, green_eyes

- jubing, dake_raccoon

- jubing, flying_crab, yellow_eyes

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": "thegreatwarriorwall-v20",
  "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