mricheson32/happy-drops-part2 🖼️🔢❓📝✓ → 🖼️

▶️ 87 runs 📅 Jan 2025 ⚙️ Cog 0.11.1
happy-drops image-inpainting image-to-image lora product-packaging text-to-image

About

Example Output

Prompt:

"Bright modern kitchen scene. A bag of ORGNFDRPS2 is on the kitchen table."

Output

Example output

Performance Metrics

7.70s Prediction Time
7.71s Total Time
All Input Parameters
{
  "model": "dev",
  "prompt": "Bright modern kitchen scene. A bag of ORGNFDRPS2 is on the kitchen table.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "png",
  "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
2025-01-02 00:19:07.713 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-02 00:19:07.713 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  91%|█████████ | 277/304 [00:00<00:00, 2753.06it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2679.22it/s]
2025-01-02 00:19:07.827 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=30116952113152
Downloading weights
2025-01-02T00:19:07Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpi2w_k5v_/weights url=https://replicate.delivery/xezq/feqS1m0rvPn2hEbZuXuw8t0fBfrJeTztIYOR8bdV1RsNnGHgC/trained_model.tar
2025-01-02T00:19:08Z | INFO  | [ Complete ] dest=/tmp/tmpi2w_k5v_/weights size="172 MB" total_elapsed=1.068s url=https://replicate.delivery/xezq/feqS1m0rvPn2hEbZuXuw8t0fBfrJeTztIYOR8bdV1RsNnGHgC/trained_model.tar
Downloaded weights in 1.09s
2025-01-02 00:19:08.922 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/7cf93939bc4735a1
2025-01-02 00:19:08.991 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-02 00:19:08.991 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-02 00:19:08.991 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  91%|█████████ | 277/304 [00:00<00:00, 2758.43it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2684.01it/s]
2025-01-02 00:19:09.105 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 17177
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Total safe images: 1 out of 1
Version Details
Version ID
48164691529600833dc45ce15f4c7a3a5a84c6b36a249edb8d81c66a1d480f12
Version Created
January 2, 2025
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