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ImaginAIry 🤖🧠

AI imagined images. Pythonic generation of stable diffusion images.

"just works" on Linux and OSX(M1).

Examples

Multiple Prompts

>> pip install imaginairy
>> imagine "a scenic landscape" "a photo of a dog" "photo of a fruit bowl" "portrait photo of a freckled woman"
🤖🧠 received 4 prompt(s) and will repeat them 1 times to create 4 images.
Loading model onto mps backend...
Generating 🖼  : "a scenic landscape" 512x512px seed:557988237 prompt-strength:7.5 steps:40 sampler-type:PLMS
    PLMS Sampler: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40/40 [00:29<00:00,  1.36it/s]
    🖼  saved to: ./outputs/000001_557988237_PLMS40_PS7.5_a_scenic_landscape.jpg
Generating 🖼  : "a photo of a dog" 512x512px seed:277230171 prompt-strength:7.5 steps:40 sampler-type:PLMS
    PLMS Sampler: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40/40 [00:28<00:00,  1.41it/s]
    🖼  saved to: ./outputs/000002_277230171_PLMS40_PS7.5_a_photo_of_a_dog.jpg
Generating 🖼  : "photo of a fruit bowl" 512x512px seed:639753980 prompt-strength:7.5 steps:40 sampler-type:PLMS
    PLMS Sampler: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40/40 [00:28<00:00,  1.40it/s]
    🖼  saved to: ./outputs/000003_639753980_PLMS40_PS7.5_photo_of_a_fruit_bowl.jpg
Generating 🖼  : "portrait photo of a freckled woman" 512x512px seed:500686645 prompt-strength:7.5 steps:40 sampler-type:PLMS
    PLMS Sampler: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40/40 [00:29<00:00,  1.37it/s]
    🖼  saved to: ./outputs/000004_500686645_PLMS40_PS7.5_portrait_photo_of_a_freckled_woman.jpg

Tiled Images

>> imagine "Art Nouveau mosaic" --tile
🤖🧠 received 1 prompt(s) and will repeat them 1 times to create 1 images.
Loading model onto mps backend...
Generating 🖼  : "Art Nouveau mosaic" 512x512px seed:658241102 prompt-strength:7.5 steps:40 sampler-type:PLMS
    PLMS Sampler: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40/40 [00:31<00:00,  1.28it/s]
    🖼  saved to: ./outputs/000058_658241102_PLMS40_PS7.5_Art_Nouveau_mosaic.jpg

Features

  • It makes images from text descriptions! 🎉
  • Generate images either in code or from command line.
  • It just works. Proper requirements installed, model weights automatically downloaded. No huggingface account needed. (if you have the right hardware... and aren't on windows)
  • Noisy logs are gone (which was surprisingly hard to accomplish)
  • WeightedPrompts let you smash together separate prompts (cat-dog)
  • Tile Mode creates tileable images
  • Prompt metadata saved into image file metadata

How To

from imaginairy import imagine_images, imagine_image_files, ImaginePrompt, WeightedPrompt

prompts = [
    ImaginePrompt("a scenic landscape", seed=1),
    ImaginePrompt("a bowl of fruit"),
    ImaginePrompt([
       WeightedPrompt("cat", weight=1),
       WeightedPrompt("dog", weight=1),
    ])
]
for result in imagine_images(prompts):
    # do something
    result.save("my_image.jpg")
    
# or

imagine_image_files(prompts, outdir="./my-art")

Requirements

  • Computer with CUDA supported graphics card. ~10 gb video ram OR
  • Apple M1 computer

Improvements from CompVis

  • img2img actually does # of steps you specify
  • performance optimizations

Models Used

Todo