dhanushreddy291/amused-text-to-image 🔢📝 → 🖼️

▶️ 200 runs 📅 Jan 2024 ⚙️ Cog 0.8.6 🔗 GitHub 📄 Paper ⚖️ License
text-to-image

About

Amused is a lightweight text to image model based off of the muse architecture. Amused is particularly useful in applications that require a lightweight and fast model such as generating many images quickly at once.

Example Output

Prompt:

"a photo of a colorful lemon mocktail can with mint leaves with an abstract background"

Output

Example output

Performance Metrics

3.09s Prediction Time
3.13s Total Time
All Input Parameters 
{
  "prompt": "a photo of a colorful lemon mocktail can with mint leaves with an abstract background",
  "num_outputs": 1,
  "guidance_scale": 20,
  "negative_prompt": "3d, cgi, render, bad quality, normal quality",
  "num_inference_steps": 50
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
prompt Type: stringDefault: a cute minimalistic simple capybara side profile, in the style of Jon Klassen, desaturated light and airy pastel color palette, nursery art, white background
Input prompt
num_outputs Type: integerDefault: 1Range: 1 - 4
Number of images to output.
guidance_scale Type: numberDefault: 10
Guidance Scale
negative_prompt Type: stringDefault: 3d, cgi, render, bad quality, normal quality
Input Negative Prompt
num_inference_steps Type: integerDefault: 30Range: 10 - 50
Number of inference steps
Output Schema

Output

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

Example Execution Logs 
Using seed: 1386652
  0%|          | 0/50 [00:00<?, ?it/s]
  6%|▌         | 3/50 [00:00<00:01, 26.23it/s]
 12%|█▏        | 6/50 [00:00<00:01, 27.20it/s]
 18%|█▊        | 9/50 [00:00<00:01, 27.67it/s]
 24%|██▍       | 12/50 [00:00<00:01, 27.99it/s]
 30%|███       | 15/50 [00:00<00:01, 28.26it/s]
 36%|███▌      | 18/50 [00:00<00:01, 28.43it/s]
 42%|████▏     | 21/50 [00:00<00:01, 27.70it/s]
 48%|████▊     | 24/50 [00:00<00:00, 27.39it/s]
 54%|█████▍    | 27/50 [00:00<00:00, 26.45it/s]
 60%|██████    | 30/50 [00:01<00:00, 25.59it/s]
 66%|██████▌   | 33/50 [00:01<00:00, 25.87it/s]
 72%|███████▏  | 36/50 [00:01<00:00, 26.26it/s]
 78%|███████▊  | 39/50 [00:01<00:00, 26.88it/s]
 84%|████████▍ | 42/50 [00:01<00:00, 27.38it/s]
 90%|█████████ | 45/50 [00:01<00:00, 27.60it/s]
 96%|█████████▌| 48/50 [00:01<00:00, 26.99it/s]
100%|██████████| 50/50 [00:01<00:00, 27.03it/s]
Version Details
Version ID
6f67e16d8ad72712b34058e1206329d10e9e18b9fbf5686f9485cfa0bd2be8f6
Version Created
January 10, 2024
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