jborgesdb/siranonoblegems 🖼️🔢❓📝✓ → 🖼️

▶️ 41 runs 📅 Nov 2024 ⚙️ Cog 0.11.1

About

Example Output

Prompt:

"A close-up of the 3NOB%100 bracelet on the model's wrist, set against a studio background of muted earth tones for a high-end, sophisticated appeal.""

Output

Performance Metrics

25.75s Prediction Time

25.91s Total Time

All Input Parameters

{
  "model": "dev",
  "width": 800,
  "height": 1200,
  "prompt": "A close-up of the 3NOB%100 bracelet on the model's wrist, set against a studio background of muted earth tones for a high-end, sophisticated appeal.\"",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "9:16",
  "output_format": "webp",
  "guidance_scale": 3,
  "output_quality": 100,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 38
}

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

Using seed: 48186
Prompt: A close-up of the 3NOB%100 bracelet on the model's wrist, set against a studio background of muted earth tones for a high-end, sophisticated appeal."
[!] txt2img mode
Using dev model
free=29273495400448
Downloading weights
2024-11-21T12:26:31Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpwcdyb8nb/weights url=https://replicate.delivery/xezq/eS9iUyHFLfqaQUhClYBVenNtR3NYbzukk18Zu0kq5ZecT0MPB/trained_model.tar
2024-11-21T12:26:44Z | INFO  | [ Complete ] dest=/tmp/tmpwcdyb8nb/weights size="344 MB" total_elapsed=12.720s url=https://replicate.delivery/xezq/eS9iUyHFLfqaQUhClYBVenNtR3NYbzukk18Zu0kq5ZecT0MPB/trained_model.tar
Downloaded weights in 12.75s
Loaded LoRAs in 13.23s
  0%|          | 0/38 [00:00<?, ?it/s]
  3%|▎         | 1/38 [00:00<00:11,  3.08it/s]
  5%|▌         | 2/38 [00:00<00:10,  3.45it/s]
  8%|▊         | 3/38 [00:00<00:10,  3.28it/s]
 11%|█         | 4/38 [00:01<00:10,  3.20it/s]
 13%|█▎        | 5/38 [00:01<00:10,  3.16it/s]
 16%|█▌        | 6/38 [00:01<00:10,  3.14it/s]
 18%|█▊        | 7/38 [00:02<00:09,  3.12it/s]
 21%|██        | 8/38 [00:02<00:09,  3.11it/s]
 24%|██▎       | 9/38 [00:02<00:09,  3.11it/s]
 26%|██▋       | 10/38 [00:03<00:09,  3.10it/s]
 29%|██▉       | 11/38 [00:03<00:08,  3.10it/s]
 32%|███▏      | 12/38 [00:03<00:08,  3.10it/s]
 34%|███▍      | 13/38 [00:04<00:08,  3.10it/s]
 37%|███▋      | 14/38 [00:04<00:07,  3.10it/s]
 39%|███▉      | 15/38 [00:04<00:07,  3.09it/s]
 42%|████▏     | 16/38 [00:05<00:07,  3.09it/s]
 45%|████▍     | 17/38 [00:05<00:06,  3.09it/s]
 47%|████▋     | 18/38 [00:05<00:06,  3.09it/s]
 50%|█████     | 19/38 [00:06<00:06,  3.09it/s]
 53%|█████▎    | 20/38 [00:06<00:05,  3.09it/s]
 55%|█████▌    | 21/38 [00:06<00:05,  3.09it/s]
 58%|█████▊    | 22/38 [00:07<00:05,  3.09it/s]
 61%|██████    | 23/38 [00:07<00:04,  3.09it/s]
 63%|██████▎   | 24/38 [00:07<00:04,  3.09it/s]
 66%|██████▌   | 25/38 [00:08<00:04,  3.09it/s]
 68%|██████▊   | 26/38 [00:08<00:03,  3.09it/s]
 71%|███████   | 27/38 [00:08<00:03,  3.09it/s]
 74%|███████▎  | 28/38 [00:08<00:03,  3.09it/s]
 76%|███████▋  | 29/38 [00:09<00:02,  3.09it/s]
 79%|███████▉  | 30/38 [00:09<00:02,  3.09it/s]
 82%|████████▏ | 31/38 [00:09<00:02,  3.09it/s]
 84%|████████▍ | 32/38 [00:10<00:01,  3.09it/s]
 87%|████████▋ | 33/38 [00:10<00:01,  3.09it/s]
 89%|████████▉ | 34/38 [00:10<00:01,  3.09it/s]
 92%|█████████▏| 35/38 [00:11<00:00,  3.09it/s]
 95%|█████████▍| 36/38 [00:11<00:00,  3.09it/s]
 97%|█████████▋| 37/38 [00:11<00:00,  3.09it/s]
100%|██████████| 38/38 [00:12<00:00,  3.09it/s]
100%|██████████| 38/38 [00:12<00:00,  3.11it/s]

Version Details

Version ID: db7bec7db01c23b54b9bf639fc31e4819cd4c40219be8dc35d9cc641367c425d
Version Created: November 21, 2024

Run on Replicate →