# inference.flux.schnell.txt2img.v1

Source: https://docs.prodia.com/job-types/inference-flux-schnell-txt2img-v1/

## Schema

```json
{
	"type": "object",
	"required": [
		"type",
		"config"
	],
	"properties": {
		"type": {
			"type": "string",
			"enum": [
				"inference.flux.schnell.txt2img.v1",
				"inference.flux.schnell.img2img.v1",
				"inference.flux.schnell.inpainting.v1"
			]
		},
		"config": {
			"type": "object",
			"required": [
				"prompt"
			],
			"properties": {
				"prompt": {
					"type": "string",
					"minLength": 3,
					"maxLength": 4096,
					"examples": [
						"puppies in a cloud, 4k"
					],
					"description": "Input description of desired output."
				},
				"style_preset": {
					"type": "string",
					"enum": [
						"3d-model",
						"analog-film",
						"anime",
						"cinematic",
						"comic-book",
						"digital-art",
						"enhance",
						"fantasy-art",
						"isometric",
						"line-art",
						"low-poly",
						"neon-punk",
						"origami",
						"photographic",
						"pixel-art",
						"texture",
						"craft-clay"
					],
					"description": "Apply a visual theme to your output image."
				},
				"loras": {
					"type": "array",
					"maxItems": 3,
					"uniqueItems": true,
					"items": {
						"type": "string",
						"enum": [
							"prodia/lora/flux/2_5D_anime@v1",
							"prodia/lora/flux/3D_anime@v1",
							"prodia/lora/flux/amateur_photography@v1",
							"prodia/lora/flux/dreamy_semi_realism@v1",
							"prodia/lora/flux/dutch_golden_age@v1",
							"prodia/lora/flux/levels/analog@v1",
							"prodia/lora/flux/levels/counter_strike@v1",
							"prodia/lora/flux/levels/disposable_camera@v1",
							"prodia/lora/flux/levels/gta@v1",
							"prodia/lora/flux/levels/lomography@v1",
							"prodia/lora/flux/levels/neon_tokyo@v1",
							"prodia/lora/flux/xlabs-ai/realism@v1"
						]
					},
					"description": "Augment the output with a LoRa model."
				},
				"steps": {
					"type": "integer",
					"default": 4,
					"minimum": 1,
					"maximum": 4,
					"description": "Amount of computational iterations to run. More is typically higher quality."
				},
				"seed": {
					"type": "integer",
					"examples": [
						42,
						531286735183442
					],
					"description": "A randomness initializer for image reproducability."
				},
				"width": {
					"type": "number",
					"multipleOf": 32,
					"minimum": 256,
					"maximum": 1920,
					"default": 1024,
					"description": "Width of the output image in pixels."
				},
				"height": {
					"type": "number",
					"multipleOf": 32,
					"minimum": 256,
					"maximum": 1920,
					"default": 1024,
					"description": "Height of the output image in pixels."
				}
			}
		}
	}
}
```