daanelson/stable-diffusion-speed-lab 🔢📝❓ → 🖼️

▶️ 3.1K runs 📅 Feb 2023 ⚙️ Cog 0.6.1
text-to-image

About

Stable Diffusion, accelerated

Example Output

Prompt:

"👨‍🚀🦅, digital Art, Greg rutkowski, Trending artstation,cinematographic"

Output

Example output

Performance Metrics

1.84s Prediction Time
1.92s Total Time
All Input Parameters 
{
  "prompt": "👨‍🚀🦅, digital Art, Greg rutkowski, Trending artstation,cinematographic",
  "scheduler": "DPMSolverMultistep",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "num_inference_steps": 50
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
prompt Type: stringDefault: a vision of paradise. unreal engine
Input prompt
scheduler Default: DPMSolverMultistep
Choose a scheduler.
num_outputs Type: integerDefault: 1Range: 1 - 4
Number of images to output.
guidance_scale Type: numberDefault: 7.5Range: 1 - 20
Scale for classifier-free guidance
negative_prompt Type: string
Specify things to not see in the output
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: 11744
  0%|          | 0/50 [00:00<?, ?it/s]
 10%|█         | 5/50 [00:00<00:01, 41.67it/s]
 22%|██▏       | 11/50 [00:00<00:00, 47.58it/s]
 34%|███▍      | 17/50 [00:00<00:00, 49.75it/s]
 46%|████▌     | 23/50 [00:00<00:00, 50.80it/s]
 58%|█████▊    | 29/50 [00:00<00:00, 51.38it/s]
 70%|███████   | 35/50 [00:00<00:00, 51.74it/s]
 82%|████████▏ | 41/50 [00:00<00:00, 51.97it/s]
 94%|█████████▍| 47/50 [00:00<00:00, 52.08it/s]
100%|██████████| 50/50 [00:00<00:00, 51.02it/s]
Version Details
Version ID
17c7552a84e231bece61d0ee1bf8c0f81553ea7d2d09d11ad40ed6c3949dbee6
Version Created
February 9, 2023
Run on Replicate →