jesuserondon/tokjer1 🖼️🔢❓📝✓ → 🖼️

▶️ 42 runs 📅 Feb 2025 ⚙️ Cog 0.13.7

About

Example Output

Prompt:

"Photorealistic portrait of TokJer1, a confident man in front of a classroom chalkboard with 'Aumenta tus ingresos' written on it, with symbols mathematical complementary. Wearing a white button-up shirt, rolled-up sleeves, and fitted jeans. Friendly expression, slight smile, relaxed posture, soft cinematic lighting."

Output

Performance Metrics

12.59s Prediction Time

12.76s Total Time

All Input Parameters

{
  "image": "https://replicate.delivery/pbxt/MbRLQRBHo5pMKaKVnuY3pQIi0qRzMhickRmKRUSPfEyd8y81/ComfyUI_00004_.png",
  "model": "dev",
  "prompt": "Photorealistic portrait of TokJer1, a confident man in front of a classroom chalkboard with 'Aumenta tus ingresos' written on it, with symbols mathematical complementary. Wearing a white button-up shirt, rolled-up sleeves, and fitted jeans. Friendly expression, slight smile, relaxed posture, soft cinematic lighting.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 2,
  "aspect_ratio": "9:16",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 90,
  "prompt_strength": 0.9,
  "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=4847960649728
Downloading weights
2025-03-04T21:51:31Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp220pp58p/weights url=https://replicate.delivery/xezq/VRyssU4k4x67GxvmN538o0R2HDZHnI5fndPBPENZ3IdJXeSUA/trained_model.tar
2025-03-04T21:51:35Z | INFO  | [ Complete ] dest=/tmp/tmp220pp58p/weights size="215 MB" total_elapsed=3.375s url=https://replicate.delivery/xezq/VRyssU4k4x67GxvmN538o0R2HDZHnI5fndPBPENZ3IdJXeSUA/trained_model.tar
Downloaded weights in 3.40s
Loaded LoRAs in 3.97s
Using seed: 50659
Prompt: Photorealistic portrait of TokJer1, a confident man in front of a classroom chalkboard with 'Aumenta tus ingresos' written on it, with symbols mathematical complementary. Wearing a white button-up shirt, rolled-up sleeves, and fitted jeans. Friendly expression, slight smile, relaxed posture, soft cinematic lighting.
Input image size: 720x720
[!] Resizing input image from 720x720 to 720x720
[!] img2img mode
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Total safe images: 2 out of 2

Version Details

Version ID: b69848ea7d661c6ccd8117d06b27e35f3867d61f1db5cf0f2ab4c969b306e1be
Version Created: February 25, 2025

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