pollinations.ai 1.0.1

Description:

pollinations.ai 1.0.1

pollinations.ai - Image Generation


pollinations.ai: (https://pollinations.ai/)

This is a WRAPPER designed for easy text-image generation.

Installing
pip install -U pollinations
pip install -U pollinations.ai

# Linux/macOS
python3 -m pip install -U pollinations
python3 -m pip install -U pollinations.ai

# Windows
py -3 -m pip install -U pollinations
py -3 -m pip install -U pollinations.ai

Simple Examples
import pollinations.ai as ai

# Version 1
model: ai.Image = ai.Image()
image: ai.ImageObject = model.generate(
prompt="A cat playing with a ball",
# negative...width...height...height...seed...model...nologo
)
image.save("cat_playing_with_ball.png")
print(image)
# -------------------------------------------- #
# Version 2
class Model(ai.Image):
params: dict = {
"prompt": "cat in space",
#negative...width...height...height...seed...model...nologo
}

model: ai.Image = Model()
model.generate().save()

def generate(
self,
prompt: str = "...",
*args,
negative: str = "",
width: int = 1024,
height: int = 1024,
seed: int = 0,
model: str = None,
nologo: bool = None,
**kwargs,
) -> types.ImageObject:

Batch Generation
import pollinations.ai as ai

# Version 1
model: ai.Image = ai.Image()
prompts: list = ["cat in space", "dog in space"]
images: list[ai.ImageObject] = model.generate_batch(prompts, save=True, path="my/path/here")
# -------------------------------------------- #
# Version 2
class Model(ai.Image):
params: dict = {
"prompt": ["lion in space", "dog in space"]
}

model: ai.Image = Model()
model.generate_batch(save=True, path="my/path/here")

def generate_batch(
self,
prompts: list = ["..."],
negative: list = ["..."],
save: bool = False,
path: str = "pollinations-Image.png",
naming: str = "counter",
*args,
model: str = None,
width: int = 1024,
height: int = 1024,
seed: int = 0,
nologo: bool = False,
**kwargs,
) -> list[types.ImageObject]:

Setting model filter
import pollinations.ai as ai

model: ai.Image = ai.Image()
model.set_filter(ai.filtered)
model.set_filter(["custom", "words", "here"])

# If any word from a prompt is in the filter it will return an exception.

Links

Pollinations.ai
Discord
Github
Youtube
Instagram
Twitter (X)