jaqihaworth-dotcom/jaqiaiavatar 🖼️🔢❓📝✓ → 🖼️

▶️ 17 runs 📅 Jan 2026 ⚙️ Cog 0.15.3

About

Example Output

Prompt:

"A flattering and feminine mid-torso portrait of JAQI, wearing a fitted plain black long-sleeve shirt with Orro printed in white across the front, seated in a modern podcast studio. Slight smiling facial expression, framed like a selfie-style content video with shoulders in view. Clean minimalist background with subtle podcast studio elements such as a microphone boom arm and blurred acoustic panels. Light studio atmosphere accented by soft neon lighting (blue and purple tones). Cinematic realism, shallow depth of field, realistic lens effect, natural skin texture."

Output

Performance Metrics

10.22s Prediction Time

10.24s Total Time

All Input Parameters

{
  "model": "dev",
  "prompt": "A flattering and feminine mid-torso portrait of JAQI, wearing a fitted plain black long-sleeve shirt with Orro printed in white across the front, seated in a modern podcast studio. Slight smiling facial expression, framed like a selfie-style content video with shoulders in view. Clean minimalist background with subtle podcast studio elements such as a microphone boom arm and blurred acoustic panels. Light studio atmosphere accented by soft neon lighting (blue and purple tones). Cinematic realism, shallow depth of field, realistic lens effect, natural skin texture.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Input Parameters

mask Type: string: Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
seed Type: integer: Random seed. Set for reproducible generation
image Type: string: Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
model Default: dev: Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.
width Type: integerRange: 256 - 1440: Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
height Type: integerRange: 256 - 1440: Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
prompt (required) Type: string: Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.
go_fast Type: booleanDefault: false: Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
extra_lora Type: string: Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
lora_scale Type: numberDefault: 1Range: -1 - 3: Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
megapixels Default: 1: Approximate number of megapixels for generated image
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of outputs to generate
aspect_ratio Default: 1:1: Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
output_format Default: webp: Format of the output images
guidance_scale Type: numberDefault: 3Range: 0 - 10: Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5
output_quality Type: integerDefault: 80Range: 0 - 100: Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
prompt_strength Type: numberDefault: 0.8Range: 0 - 1: Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
extra_lora_scale Type: numberDefault: 1Range: -1 - 3: Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
replicate_weights Type: string: Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
num_inference_steps Type: integerDefault: 28Range: 1 - 50: Number of denoising steps. More steps can give more detailed images, but take longer.
disable_safety_checker Type: booleanDefault: false: Disable safety checker for generated images.

Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

free=24120052129792
Downloading weights
2026-01-15T08:41:27Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpo2gmy54x/weights url=https://replicate.delivery/xezq/yzXc73UATk4ULNA6YO1UVXL9xfWP1f2zHoSf7AL7IKblsK7rA/trained_model.tar
2026-01-15T08:41:27Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local
2026-01-15T08:41:27Z | INFO  | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/yzXc73UATk4ULNA6YO1UVXL9xfWP1f2zHoSf7AL7IKblsK7rA/trained_model.tar url=https://replicate.delivery/xezq/yzXc73UATk4ULNA6YO1UVXL9xfWP1f2zHoSf7AL7IKblsK7rA/trained_model.tar
2026-01-15T08:41:28Z | INFO  | [ Redirect ] redirect_url=http://r8-east4-loras-ric2.cwlota.com/b1042b1143fbec08ec073c304ed4498879e492c2334f4b4dd6a48d07b3b28882?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWYAFKQUBIDDRADP%2F20260115%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20260115T084127Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=2bc34ef3caeef1ababee27c87ec31104e9569fb140c27fcd7fedf7bee351ec3a url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/yzXc73UATk4ULNA6YO1UVXL9xfWP1f2zHoSf7AL7IKblsK7rA/trained_model.tar
2026-01-15T08:41:28Z | INFO  | [ Complete ] dest=/tmp/tmpo2gmy54x/weights size="172 MB" total_elapsed=0.407s url=https://replicate.delivery/xezq/yzXc73UATk4ULNA6YO1UVXL9xfWP1f2zHoSf7AL7IKblsK7rA/trained_model.tar
Downloaded weights in 0.47s
Loaded LoRAs in 2.29s
Using seed: 52503
Prompt: A flattering and feminine mid-torso portrait of JAQI, wearing a fitted plain black long-sleeve shirt with Orro printed in white across the front, seated in a modern podcast studio. Slight smiling facial expression, framed like a selfie-style content video with shoulders in view. Clean minimalist background with subtle podcast studio elements such as a microphone boom arm and blurred acoustic panels. Light studio atmosphere accented by soft neon lighting (blue and purple tones). Cinematic realism, shallow depth of field, realistic lens effect, natural skin texture.
[!] txt2img mode
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Total safe images: 1 out of 1

Version Details

Version ID: ee8c119d27c47eef082a14701eb5040e7a428b7f8304066d87f0762f2addf30d
Version Created: January 15, 2026

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