floppyve/10therockwyne 🖼️🔢❓📝✓ → 🖼️

▶️ 47 runs 📅 Dec 2024 ⚙️ Cog 0.11.1

About

Example Output

Prompt:

"10therockwyne, channeling the charm and larger-than-life persona of The Rock, sits at a cozy outdoor café in a picturesque Italian town. Surrounded by cobblestone streets and the warm glow of the setting sun, they take a moment to savor a plate of freshly made pasta. With a satisfied smile, 10therockwyne twirls the pasta expertly around a fork, bringing it to their mouth. The rich aroma of garlic, tomatoes, and basil fills the air. As they take a bite, their eyes light up with delight at the perfect blend of flavors. The café buzzes with lively conversation, but for a moment, it's just 10therockwyne, the delicious meal, and the breathtaking view of the Italian countryside. The Rock's love for food and travel is clear as they enjoy this simple yet unforgettable moment in Italy.""

Output

Performance Metrics

14.42s Prediction Time

14.46s Total Time

All Input Parameters

{
  "model": "dev",
  "prompt": "10therockwyne, channeling the charm and larger-than-life persona of The Rock, sits at a cozy outdoor café in a picturesque Italian town. Surrounded by cobblestone streets and the warm glow of the setting sun, they take a moment to savor a plate of freshly made pasta. With a satisfied smile, 10therockwyne twirls the pasta expertly around a fork, bringing it to their mouth. The rich aroma of garlic, tomatoes, and basil fills the air. As they take a bite, their eyes light up with delight at the perfect blend of flavors. The café buzzes with lively conversation, but for a moment, it's just 10therockwyne, the delicious meal, and the breathtaking view of the Italian countryside. The Rock's love for food and travel is clear as they enjoy this simple yet unforgettable moment in Italy.\"\n\n",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 2,
  "aspect_ratio": "9:16",
  "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

2024-12-09 02:16:39.970 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-09 02:16:39.971 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  90%|████████▉ | 273/304 [00:00<00:00, 2709.93it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2600.50it/s]
2024-12-09 02:16:40.088 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s
free=28547754385408
Downloading weights
2024-12-09T02:16:40Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmptv1pbekd/weights url=https://replicate.delivery/xezq/GxlkNWPmqHJ0BFbZM4z2rZcVHL2CVfKPfy3fHSf75D9LQAkPB/trained_model.tar
2024-12-09T02:16:42Z | INFO  | [ Complete ] dest=/tmp/tmptv1pbekd/weights size="172 MB" total_elapsed=1.928s url=https://replicate.delivery/xezq/GxlkNWPmqHJ0BFbZM4z2rZcVHL2CVfKPfy3fHSf75D9LQAkPB/trained_model.tar
Downloaded weights in 1.95s
2024-12-09 02:16:42.043 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/a4530c3f073063c8
2024-12-09 02:16:42.114 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2024-12-09 02:16:42.115 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2024-12-09 02:16:42.115 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  90%|████████▉ | 273/304 [00:00<00:00, 2712.37it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2602.66it/s]
2024-12-09 02:16:42.232 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s
Using seed: 19799
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Total safe images: 2 out of 2

Version Details

Version ID: c154a9b726f64dedd8c62f9f5741ad046cb5215f2d576233343957751d04ae16
Version Created: December 9, 2024

Run on Replicate →