Generating avatar images from text
Creating visual representations or digital avatars based on textual descriptions.
Use case example
- - Avatar creation tools for profiles or gaming
- - Transforming written characteristics into visual representations
Try it
Examples
Input
{"input":{"prompt":"close portrait of a dog, avata...""negative_prompt":"cartoon""width":512"height":512"prompt_strength":0.8"num_outputs":1"num_inference_steps":50"guidance_scale":7.5"scheduler":"DPMSolverMultistep""seed":328}"id":87}
Output
{"status":"succeeded""output":[0:"https://rbqktisnztholqojxlaf.s..."]"prediction_time":25.711588}
API Information
Input description
Input prompt (Needs to contain the mention 'avatarart style')
Specify things to not see in the output
An enumeration.
Default value: 512
Enum values: 128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024
An enumeration.
Default value: 512
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.