beyondsuperbia/flux 🖼️🔢❓📝✓ → 🖼️

▶️ 54 runs 📅 Feb 2025 ⚙️ Cog 0.13.7
car ford image-to-image lora text-to-image

About

Example Output

Prompt:

"Ultra-detailed close-up of a rugged Ford Ranger Wildtrak tyre rolling on a pristine tar road, highlighting the deep treads and suspension components, cinematic lighting, realistic textures, motion blur on the wheel, high realism"

Output

Example output

Performance Metrics

9.13s Prediction Time
9.45s Total Time
All Input Parameters
{
  "model": "dev",
  "prompt": "Ultra-detailed close-up of a rugged Ford Ranger Wildtrak tyre rolling on a pristine tar road, highlighting the deep treads and suspension components, cinematic lighting, realistic textures, motion blur on the wheel, high realism",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "16:9",
  "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: arrayItems Type: stringItems Format: uri

Example Execution Logs
2025-02-03 11:11:45.012 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-02-03 11:11:45.012 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  92%|█████████▏| 279/304 [00:00<00:00, 2764.09it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2676.56it/s]
2025-02-03 11:11:45.126 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=28609424347136
Downloading weights
2025-02-03T11:11:45Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpowyq3nrb/weights url=https://replicate.delivery/xezq/Wv7eYreL3Ikm9UXmSWY336I1Ov2bIpYDLoDWZmf6VewFRVuQB/trained_model.tar
2025-02-03T11:11:47Z | INFO  | [ Complete ] dest=/tmp/tmpowyq3nrb/weights size="172 MB" total_elapsed=2.786s url=https://replicate.delivery/xezq/Wv7eYreL3Ikm9UXmSWY336I1Ov2bIpYDLoDWZmf6VewFRVuQB/trained_model.tar
Downloaded weights in 2.81s
2025-02-03 11:11:47.939 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/88d081926575974e
2025-02-03 11:11:48.014 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-02-03 11:11:48.014 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-02-03 11:11:48.014 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  92%|█████████▏| 279/304 [00:00<00:00, 2766.68it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2678.74it/s]
2025-02-03 11:11:48.128 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s
Using seed: 39253
0it [00:00, ?it/s]
1it [00:00,  8.47it/s]
2it [00:00,  5.93it/s]
3it [00:00,  5.41it/s]
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28it [00:05,  4.86it/s]
28it [00:05,  4.94it/s]
Total safe images: 1 out of 1
Version Details
Version ID
a28706065f454e0a200b372b8d2bf7281511ee2c0ef42c187d27f85a8dbe2384
Version Created
February 6, 2025
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