andreasjansson/monkey-island-rdm 🔢📝 → 🖼️

▶️ 623 runs 📅 Aug 2022 ⚙️ Cog 0.4.1 🔗 GitHub ⚖️ License

monkey-island pixel-art retrieval-augmented retrieval-augmented-diffusion text-to-image

About

Monkey Island database for Retrieval-augmented Diffusion model

Example Output

Prompt:

"A pirate wedding"

Output

Performance Metrics

8.97s Prediction Time

9.18s Total Time

All Input Parameters

{
  "seed": -1,
  "scale": 5,
  "steps": 100,
  "prompt": "A pirate wedding",
  "num_database_results": "10"
}

Input Parameters

seed Type: integerDefault: -1: Seed for the random number generator. Set to -1 to use a random seed.
scale Type: numberDefault: 5: Classifier-free unconditional scale for the sampler.
steps Type: integerDefault: 100: How many steps to run the model for. Using more will make generation take longer. 50 tends to work well.
prompt Type: stringDefault:: Input prompt. Will be prefixed with 'A game scene from Monkey Island: '
num_database_results Type: integerDefault: 10Range: 1 - 20: The number of search results from the retrieval backend to guide the generation with.

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

Using random seed 3030840391
Seed: -1
CLIP Text Embed: torch.Size([1, 1, 768])
Data shape for PLMS sampling is (1, 16, 48, 48)
Running PLMS Sampling with 100 timesteps

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Version Details

Version ID: f907c5ef70ba1efac7c6462f595ce5e68f67159596158928cec7886d91c739ba
Version Created: August 19, 2022

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