daanelson/training-2 🖼️🔢📝❓ → 🖼️

▶️ 991 runs 📅 Jul 2023 ⚙️ Cog 0.8.2

About

Example Output

Prompt:

"An <s0> riding a rainbow unicorn"

Output

Performance Metrics

9.66s Prediction Time

133.64s Total Time

All Input Parameters

{
  "width": 1024,
  "height": 1024,
  "prompt": "An <s0> riding a rainbow unicorn",
  "refine": "expert_ensemble_refiner",
  "scheduler": "DDIM",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "high_noise_frac": 0.8,
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}

Input Parameters

mask Type: string: Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
seed Type: integer: Random seed. Leave blank to randomize the seed
image Type: string: Input image for img2img or inpaint mode
width Type: integerDefault: 1024: Width of output image
height Type: integerDefault: 1024: Height of output image
prompt Type: stringDefault: An astronaut riding a rainbow unicorn: Input prompt
refine Default: no_refiner: Which refine style to use
scheduler Default: DDIM: scheduler
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of images to output.
refine_steps Type: integer: for base_image_refiner, the number of steps to refine, defaults to num_inference_steps
guidance_scale Type: numberDefault: 7.5Range: 1 - 50: Scale for classifier-free guidance
high_noise_frac Type: numberDefault: 0.8Range: 0 - 1: for expert_ensemble_refiner, the fraction of noise to use
negative_prompt Type: stringDefault:: Input Negative Prompt
prompt_strength Type: numberDefault: 0.8Range: 0 - 1: Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps

Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

Using seed: 53975
txt2img mode
  0%|          | 0/40 [00:00<?, ?it/s]
  2%|▎         | 1/40 [00:01<00:58,  1.50s/it]
  5%|▌         | 2/40 [00:01<00:26,  1.44it/s]
  8%|▊         | 3/40 [00:01<00:15,  2.33it/s]
 10%|█         | 4/40 [00:01<00:11,  3.27it/s]
 12%|█▎        | 5/40 [00:01<00:08,  4.20it/s]
 15%|█▌        | 6/40 [00:02<00:06,  4.99it/s]
 18%|█▊        | 7/40 [00:02<00:05,  5.76it/s]
 20%|██        | 8/40 [00:02<00:05,  6.40it/s]
 22%|██▎       | 9/40 [00:02<00:04,  6.92it/s]
 25%|██▌       | 10/40 [00:02<00:04,  7.34it/s]
 28%|██▊       | 11/40 [00:02<00:03,  7.67it/s]
 30%|███       | 12/40 [00:02<00:03,  7.90it/s]
 32%|███▎      | 13/40 [00:02<00:03,  8.10it/s]
 35%|███▌      | 14/40 [00:03<00:03,  8.22it/s]
 38%|███▊      | 15/40 [00:03<00:03,  8.33it/s]
 40%|████      | 16/40 [00:03<00:02,  8.39it/s]
 42%|████▎     | 17/40 [00:03<00:02,  8.25it/s]
 45%|████▌     | 18/40 [00:03<00:02,  8.35it/s]
 48%|████▊     | 19/40 [00:03<00:02,  8.41it/s]
 50%|█████     | 20/40 [00:03<00:02,  8.45it/s]
 52%|█████▎    | 21/40 [00:03<00:02,  8.48it/s]
 55%|█████▌    | 22/40 [00:03<00:02,  8.51it/s]
 57%|█████▊    | 23/40 [00:04<00:02,  8.37it/s]
 60%|██████    | 24/40 [00:04<00:01,  8.36it/s]
 62%|██████▎   | 25/40 [00:04<00:01,  8.30it/s]
 65%|██████▌   | 26/40 [00:04<00:01,  8.38it/s]
 68%|██████▊   | 27/40 [00:04<00:01,  8.45it/s]
 70%|███████   | 28/40 [00:04<00:01,  8.50it/s]
 72%|███████▎  | 29/40 [00:04<00:01,  8.50it/s]
 75%|███████▌  | 30/40 [00:04<00:01,  8.45it/s]
 78%|███████▊  | 31/40 [00:05<00:01,  8.47it/s]
 80%|████████  | 32/40 [00:05<00:00,  8.23it/s]
 82%|████████▎ | 33/40 [00:05<00:00,  8.33it/s]
 85%|████████▌ | 34/40 [00:05<00:00,  8.39it/s]
 88%|████████▊ | 35/40 [00:05<00:00,  8.37it/s]
 90%|█████████ | 36/40 [00:05<00:00,  8.39it/s]
 92%|█████████▎| 37/40 [00:05<00:00,  8.31it/s]
 95%|█████████▌| 38/40 [00:05<00:00,  8.39it/s]
 98%|█████████▊| 39/40 [00:06<00:00,  8.45it/s]
100%|██████████| 40/40 [00:06<00:00,  8.33it/s]
100%|██████████| 40/40 [00:06<00:00,  6.51it/s]
  0%|          | 0/10 [00:00<?, ?it/s]
 10%|█         | 1/10 [00:00<00:02,  4.12it/s]
 20%|██        | 2/10 [00:00<00:01,  5.68it/s]
 30%|███       | 3/10 [00:00<00:01,  6.46it/s]
 40%|████      | 4/10 [00:00<00:00,  6.91it/s]
 50%|█████     | 5/10 [00:00<00:00,  7.18it/s]
 60%|██████    | 6/10 [00:00<00:00,  7.34it/s]
 70%|███████   | 7/10 [00:01<00:00,  7.23it/s]
 80%|████████  | 8/10 [00:01<00:00,  7.38it/s]
 90%|█████████ | 9/10 [00:01<00:00,  7.48it/s]
100%|██████████| 10/10 [00:01<00:00,  7.55it/s]
100%|██████████| 10/10 [00:01<00:00,  7.03it/s]

Version Details

Version ID: f0cd4cbf0e8f8fa2975f5222cd879bb1a12a3265bfc12c64814bc6ca168cad1a
Version Created: July 29, 2023

Run on Replicate →