## Basic model info

Model name: asronline/sdxl-btas-titles
Model description: None


## Model inputs

- prompt (optional): Input prompt (string)
- negative_prompt (optional): Input Negative Prompt (string)
- image (optional): Input image for img2img or inpaint mode (string)
- mask (optional): Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted. (string)
- width (optional): Width of output image (integer)
- height (optional): Height of output image (integer)
- num_outputs (optional): Number of images to output. (integer)
- scheduler (optional): scheduler (string)
- num_inference_steps (optional): Number of denoising steps (integer)
- guidance_scale (optional): Scale for classifier-free guidance (number)
- prompt_strength (optional): Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image (number)
- seed (optional): Random seed. Leave blank to randomize the seed (integer)
- refine (optional): Which refine style to use (string)
- high_noise_frac (optional): For expert_ensemble_refiner, the fraction of noise to use (number)
- refine_steps (optional): For base_image_refiner, the number of steps to refine, defaults to num_inference_steps (integer)
- apply_watermark (optional): Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking. (boolean)
- lora_scale (optional): LoRA additive scale. Only applicable on trained models. (number)
- disable_safety_checker (optional): Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety (boolean)


## Model output schema

{
  "type": "array",
  "items": {
    "type": "string",
    "format": "uri"
  },
  "title": "Output"
}

If the input or output schema includes a format of URI, it is referring to a file.


## Example inputs and outputs

Use these example outputs to better understand the types of inputs the model accepts, and the types of outputs the model returns:

### Example (https://replicate.com/p/uhvdix3b6iznvizkc3nw2cpghy)

#### Input

```json
{
  "width": 1024,
  "height": 1024,
  "prompt": "In the style of BTAS, a silhouette of a batman in a city with a moody red sky",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}
```

#### Output

```json
[
  "https://replicate.delivery/pbxt/yJbFYG4N2Fq1BtBDdxUBe6eV1M4IeROAx4RlefzIivodUJDMC/out-0.png"
]
```


### Example (https://replicate.com/p/l6idqltbmjk3iyk6l34zytozwu)

#### Input

```json
{
  "width": 1024,
  "height": 1024,
  "prompt": "in the style of btas, the cat and the claw poster is on a black background",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}
```

#### Output

```json
[
  "https://replicate.delivery/pbxt/8vsfTGYUYQUiGyL4qa537k8FOkYi0brcsWEwhLkNgWginMwIA/out-0.png"
]
```


## Model readme

> No readme available for this model.

