Generating GTA 5-style images from a description
Producing visuals reminiscent of the style seen in GTA 5 based on provided details
Use case example
- - Artistic renderings inspired by the aesthetics of GTA 5
- - Creating images with a similar visual vibe and atmosphere as GTA 5
Try it
Examples
Input
{"input":{"seed":8385"width":768"height":768"prompt":"A city with a dog and two men ...""scheduler":"DPMSolverMultistep""num_outputs":1"guidance_scale":7.5"negative_prompt":"black and white""prompt_strength":0.8"num_inference_steps":50}"id":88}
Output
{"status":"succeeded""output":[0:"https://rbqktisnztholqojxlaf.s..."]"prediction_time":17.057647}
API Information
Input description
Input prompt (has to contain 'in gtav style')
Specify things to not see in the output
An enumeration.
Default value: 768
Enum values: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024
An enumeration.
Default value: 768
Enum values: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024
Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
Default value: 0.8
Number of images to output.
Default value: 1
Number of denoising steps
Default value: 50
Scale for classifier-free guidance
Default value: 7.5
An enumeration.
Default value: DPMSolverMultistep
Enum values: DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS
Random seed. Leave blank to randomize the seed
Output JSON Schema
This represents the JSON schema that details the structure of the model's output.