fulbertsmart/fulbert 🖼️🔢❓📝✓ → 🖼️

▶️ 89 runs 📅 Jun 2025 ⚙️ Cog 0.14.3
lora lora-person text-to-image

About

Example Output

Prompt:

"a photo of fulbert, a confident man with short, side-faded hair and a trimmed beard, wearing black rectangular glasses, captured in a dramatic studio portrait. He wears a sleek black turtleneck sweater and a luxury silver wristwatch with a black dial. His expression is contemplative and focused, looking slightly off-camera. --ar 2:3 --style raw --pose hands gently clasped near his face, resting on the table or chest level --environment dark studio backdrop with deep shadows and soft directional lighting --lighting single key light from upper left, creating cinematic chiaroscuro effect, with soft falloff on the opposite side of the face --camera angle mid-close shot, frontal with slight left rotation --composition centered on subject’s face and hands, tight frame, headroom respected, dark negative space around --post-processing high clarity, realistic skin texture, sharp detail on glasses, beard and watch, subtle contrast enhancement --details emphasis on wristwatch gleam, fabric texture of turtleneck, reflection in glasses, soft background fade --quality high-end portrait photography, 85mm lens simulation, f/1.4 aperture, ISO 100, 1/160s shutter, studio-grade DSLR quality"

Output

Example output

Performance Metrics

10.03s Prediction Time
10.04s Total Time
All Input Parameters
{
  "model": "dev",
  "prompt": "a photo of fulbert, a confident man with short, side-faded hair and a trimmed beard, wearing black rectangular glasses, captured in a dramatic studio portrait. He wears a sleek black turtleneck sweater and a luxury silver wristwatch with a black dial. His expression is contemplative and focused, looking slightly off-camera. --ar 2:3 --style raw --pose hands gently clasped near his face, resting on the table or chest level --environment dark studio backdrop with deep shadows and soft directional lighting --lighting single key light from upper left, creating cinematic chiaroscuro effect, with soft falloff on the opposite side of the face --camera angle mid-close shot, frontal with slight left rotation --composition centered on subject’s face and hands, tight frame, headroom respected, dark negative space around --post-processing high clarity, realistic skin texture, sharp detail on glasses, beard and watch, subtle contrast enhancement --details emphasis on wristwatch gleam, fabric texture of turtleneck, reflection in glasses, soft background fade --quality high-end portrait photography, 85mm lens simulation, f/1.4 aperture, ISO 100, 1/160s shutter, studio-grade DSLR quality",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "3:4",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 100,
  "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: arrayItems Type: stringItems Format: uri

Example Execution Logs
Loaded LoRAs in 2.49s
Using seed: 41246
Prompt: a photo of fulbert, a confident man with short, side-faded hair and a trimmed beard, wearing black rectangular glasses, captured in a dramatic studio portrait. He wears a sleek black turtleneck sweater and a luxury silver wristwatch with a black dial. His expression is contemplative and focused, looking slightly off-camera. --ar 2:3 --style raw --pose hands gently clasped near his face, resting on the table or chest level --environment dark studio backdrop with deep shadows and soft directional lighting --lighting single key light from upper left, creating cinematic chiaroscuro effect, with soft falloff on the opposite side of the face --camera angle mid-close shot, frontal with slight left rotation --composition centered on subject’s face and hands, tight frame, headroom respected, dark negative space around --post-processing high clarity, realistic skin texture, sharp detail on glasses, beard and watch, subtle contrast enhancement --details emphasis on wristwatch gleam, fabric texture of turtleneck, reflection in glasses, soft background fade --quality high-end portrait photography, 85mm lens simulation, f/1.4 aperture, ISO 100, 1/160s shutter, studio-grade DSLR quality
[!] txt2img mode
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Total safe images: 1 out of 1
Version Details
Version ID
fa806a081b89bfd111cd6d30bde9bcd4309a5e8a3b1f9504d77e7cbde7899f69
Version Created
June 4, 2025
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