enhance-replicate/flix1.4gar

Public

9 runs

Run enhance-replicate/flix1.4gar with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
image	string		Input image to convert to video
prompt	string	High quality, ultrarealistic, cinematic, smooth motion, detailed, professional video	None
negative_prompt	string	low quality, blurry, pixelated, distorted, deformed, ugly, bad anatomy, worst quality, low resolution, jpeg artifacts, duplicate, error, poorly drawn, extra limbs, missing limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands and fingers, out of focus, long body, mutated body parts, extra limbs, malformed limbs, missing arms, missing legs, extra arms, extra legs, mutated hands, fused fingers, too many fingers, long neck	None
num_frames	integer	8	None
guidance_scale	number	7.5	None
num_inference_steps	integer	10	None
seed	integer		None
eta	number	0	None
fps	integer	4	None
max_area	integer	399360	None
upscale	None	none	Upscale mode: none, fast, balanced, or quality

{
  "type": "object",
  "title": "Input",
  "required": [
    "image"
  ],
  "properties": {
    "eta": {
      "type": "number",
      "title": "Eta",
      "default": 0,
      "x-order": 7
    },
    "fps": {
      "type": "integer",
      "title": "Fps",
      "default": 4,
      "x-order": 8
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "x-order": 6
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Input image to convert to video"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "High quality, ultrarealistic, cinematic, smooth motion, detailed, professional video",
      "x-order": 1
    },
    "upscale": {
      "enum": [
        "none",
        "fast",
        "balanced",
        "quality"
      ],
      "type": "string",
      "title": "upscale",
      "description": "Upscale mode: none, fast, balanced, or quality",
      "default": "none",
      "x-order": 10
    },
    "max_area": {
      "type": "integer",
      "title": "Max Area",
      "default": 399360,
      "x-order": 9
    },
    "num_frames": {
      "type": "integer",
      "title": "Num Frames",
      "default": 8,
      "x-order": 3
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 7.5,
      "x-order": 4
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "low quality, blurry, pixelated, distorted, deformed, ugly, bad anatomy, worst quality, low resolution, jpeg artifacts, duplicate, error, poorly drawn, extra limbs, missing limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands and fingers, out of focus, long body, mutated body parts, extra limbs, malformed limbs, missing arms, missing legs, extra arms, extra legs, mutated hands, fused fingers, too many fingers, long neck",
      "x-order": 2
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 10,
      "x-order": 5
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

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