# Anatomica - v1.0

> A flux LoRA created to replicate the style used for anatomy and medical sketches used on engraving plates.Trained using 30 images with minimal tagging in Civitai's LoRA trainer. This version seemed to do best and was pulled off at step 1001. Trained at 0.0005 LR, 10 repeats, epoch 13, 64 alpha/dims.The LoRA responds well when prompted to make an anatomical sketch of something that makes sense in that context but gets confused easily when you prompt totally outside of that domain. Either way, it does some fun images.Future versions should be more flexible and have the ability to generalize so that it can apply the style with a wider variety of prompts.

## Overview

- **Model ID**: `anatomica-v1-0`
- **Category**: flux
- **Provider**: modelslab
- **Status**: model_ready
- **Screenshot**: `https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f026ca64-0fe1-4cbc-a105-edb1a47531f0/width=896/28069312.jpeg`

## API Information

This model can be used via our HTTP API. See the API documentation and usage examples below.

### Endpoint

- **URL**: `https://modelslab.com/api/v6/images/text2img`
- **Method**: POST

### Parameters

- **`prompt`** (required): prompt help in image generation
  - Type: textarea
  - Example: Enter prompt

- **`model_id`** (required): Enter model_id that can help in image generation
  - Type: text
  - Example: Enter model_id here

- **`lora_model`** (required): 
  - Type: multiple_models

- **`width`** (required): width of the image 
  - Type: number (range: 512-1024)

- **`height`** (required): height of the image 
  - Type: number (range: 512-1024)

- **`negative_prompt`** (optional): Negative prompt help in avoid things that you do not want in image 
  - Type: textarea
  - Example: Enter negative prompt that you do not want see in image

- **`scheduler`** (optional): 
  - Type: select (options: DPM++ 2M, DPM++ SDE, Euler, Euler a)

- **`guidance_scale`** (optional): 
  - Type: number (range: 1-10)

## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://modelslab.com/api/v6/images/text2img \
  --header "Content-Type: application/json" \
  --data '{
    "key": "YOUR_API_KEY",
    "model_id": "anatomica-v1-0",
    "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",
    "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",
    "scheduler": "DPMSolverMultistepScheduler",
    "guidance_scale": "7.5"
  }'
```

### Python

```python
import requests

response = requests.post(
    "https://modelslab.com/api/v6/images/text2img",
    headers={
        "Content-Type": "application/json"
    },
    json={
        "key": "YOUR_API_KEY",
        "model_id": "anatomica-v1-0",
        "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",
        "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",
        "scheduler": "DPMSolverMultistepScheduler",
        "guidance_scale": "7.5"
    }
)

print(response.json())
```

### JavaScript

```javascript
fetch("https://modelslab.com/api/v6/images/text2img", {
  method: "POST",
  headers: {
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "key": "YOUR_API_KEY",
    "model_id": "anatomica-v1-0",
    "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",
    "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",
    "scheduler": "DPMSolverMultistepScheduler",
    "guidance_scale": "7.5"
  })
})
.then(response => response.json())
.then(data => console.log(data));
```

## Links

- [Model Playground](https://modelslab.com/models/community-model/anatomica-v1-0)
- [API Documentation](https://docs.modelslab.com)
- [ModelsLab Platform](https://modelslab.com)