superfounder83/sebastian-bald 🖼️🔢❓📝✓ → 🖼️

▶️ 21 runs 📅 Jun 2025 ⚙️ Cog 0.13.6

About

Example Output

Prompt:

"masterpiece, best quality, ultra-detailed, photorealistic, 8k, cinematic lighting, hyperrealistic studio portrait of SEBBALD with extremely short hair (nearly bald), distinctive facial features captured accurately by LoRA, medium shot chest to head, arms crossed, looking directly into camera with friendly confident expression. Clothing: neutral dark blue round neck t-shirt, matte fabric texture.
Lighting: strong soft key light from above-left, moderate cool fill light from front-right, neon-lime rim light on right contour (Hex #CCFF00), electric-blue rim light on left contour (Hex #0DCAF0), optional subtle electric-blue fill from below-left.
Background: bright off-white (#F5F5F5) with very subtle isometric line/grid texture in faint light gray (near invisible), minimal radial halo effect: a very soft, almost imperceptible neon-lime or electric-blue edge around figure to separate from background. Soft vignette.
Specular highlights: natural skin highlights (forehead, cheeks, eyes), subtle fabric highlights on blazer, slight reflective accents of rim lights on shoulders and head.
Mood: premium, futuristic-charming, minimalistic but striking, friendly and confident."

Output

Performance Metrics

28.70s Prediction Time

28.77s Total Time

All Input Parameters

{
  "model": "dev",
  "width": 1024,
  "height": 1024,
  "prompt": "masterpiece, best quality, ultra-detailed, photorealistic, 8k, cinematic lighting, hyperrealistic studio portrait of SEBBALD with extremely short hair (nearly bald), distinctive facial features captured accurately by LoRA, medium shot chest to head, arms crossed, looking directly into camera with friendly confident expression. Clothing: neutral dark blue round neck t-shirt, matte fabric texture.\nLighting: strong soft key light from above-left, moderate cool fill light from front-right, neon-lime rim light on right contour (Hex #CCFF00), electric-blue rim light on left contour (Hex #0DCAF0), optional subtle electric-blue fill from below-left.\nBackground: bright off-white (#F5F5F5) with very subtle isometric line/grid texture in faint light gray (near invisible), minimal radial halo effect: a very soft, almost imperceptible neon-lime or electric-blue edge around figure to separate from background. Soft vignette.\nSpecular highlights: natural skin highlights (forehead, cheeks, eyes), subtle fabric highlights on blazer, slight reflective accents of rim lights on shoulders and head.\nMood: premium, futuristic-charming, minimalistic but striking, friendly and confident.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "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

Loaded LoRAs in 0.52s
Using seed: 37857
Prompt: masterpiece, best quality, ultra-detailed, photorealistic, 8k, cinematic lighting, hyperrealistic studio portrait of SEBBALD with extremely short hair (nearly bald), distinctive facial features captured accurately by LoRA, medium shot chest to head, arms crossed, looking directly into camera with friendly confident expression. Clothing: neutral dark blue round neck t-shirt, matte fabric texture.
Lighting: strong soft key light from above-left, moderate cool fill light from front-right, neon-lime rim light on right contour (Hex #CCFF00), electric-blue rim light on left contour (Hex #0DCAF0), optional subtle electric-blue fill from below-left.
Background: bright off-white (#F5F5F5) with very subtle isometric line/grid texture in faint light gray (near invisible), minimal radial halo effect: a very soft, almost imperceptible neon-lime or electric-blue edge around figure to separate from background. Soft vignette.
Specular highlights: natural skin highlights (forehead, cheeks, eyes), subtle fabric highlights on blazer, slight reflective accents of rim lights on shoulders and head.
Mood: premium, futuristic-charming, minimalistic but striking, friendly and confident.
[!] txt2img mode
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Total safe images: 4 out of 4

Version Details

Version ID: 50643c1c0e5c68ece027ef8ec68e307e80147651b212d6378b7334ec53446583
Version Created: June 11, 2025

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