| Name | pollinations JSON |
| Version |
2.3.11
JSON |
| download |
| home_page | https://pollinations.ai/ |
| Summary | pollinations.ai | Free AI Text & Image Generation |
| upload_time | 2025-01-13 02:29:10 |
| maintainer | None |
| docs_url | None |
| author | git.pollinations.ai |
| requires_python | >=3.7 |
| license | MIT License Copyright (c) 2025 pollinations Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
pollinations
pollinations.ai
pollinations-ai
pollinations_ai
ai
api
sdk
wrapper
free
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<div id="header">
<img src="https://i.ibb.co/p049Y5S/86964862.png" width="50"/> <img src="https://i.ibb.co/r6JZ336/sketch1700556567238.png" width="250">
</div>
# [pollinations.ai - Free AI Text & Image Generation](https://pypi.org/project/pollinations.ai)
[](https://github.com/pollinations-ai/pollinations.ai/blob/main/LICENSE)
[](https://www.python.org/downloads/)
```
pollinations.ai: (https://pollinations.ai/)
Work with the best generative models from Pollinations using this Python SDK.
```
## Installing
```shell
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
```
## Image Generation
```python
import pollinations
image_model = pollinations.Image(
model=pollinations.Image.flux(),
seed="random",
width=1024,
height=1024,
enhance=False,
nologo=True,
private=True,
safe=False,
referrer="pollinations.py"
) # or pollinations.Image() to use defaults
image = image_model(
prompt="A cat with flowers around it."
)
print(image.prompt, image.response)
image.save(
file="pollinations-image.png"
)
print(pollinations.Image.models())
print(pollinations.Image.flux())
print(pollinations.Image.flux.info())
```
### Async Image Generation
```python
image_model = pollinations.Async.Image() # Has ALL features and functionality of normal Image class
image = await image_model(
prompt="A cat with flowers around it."
)
```
## Text Generation
```python
import pollinations
text_model = pollinations.Text(
model=pollinations.Text.openai(),
system="You are a helpful assistant.",
contextual=True,
messages=[ # or [] or None
pollinations.Text.Message(
role="user",
content="What is the capital of France?"
),
pollinations.Text.Message(
role="assistant",
content="The capital of France is Paris."
)
],
seed="random",
jsonMode=False,
referrer="pollinations.py"
)
response = text_model(
prompt="Hello.",
display=True, # Simulate typing,
encode=True # Use proper encoding
)
print(response.prompt, response.response)
print(pollinations.Text.models())
print(pollinations.Text.openai())
print(pollinations.Text.openai.info())
```
### Async Text Generation
```python
text_model = pollinations.Async.Text() # Has ALL features and functionality of normal Text class
response = await text_model(
prompt="Hello."
)
```
## Image Request Building
```python
import pollinations
image_request = pollinations.Image.Request(
model=pollinations.Image.flux(),
prompt="A cat with flowers around it.",
seed="random",
width=1024,
height=1024,
enhance=False,
nologo=True,
private=True,
safe=False,
referrer="pollinations.py"
)
image = image_request()
print(image.model, image.prompt, image.response)
```
## Text Request Building
```python
import pollinations
text_request = pollinations.Text.Request(
model=pollinations.Text.openai(),
prompt="Hello, how are you?",
system="You are a helpful assistant.",
contextual=True,
messages=[ # or [] or None
pollinations.Text.Message(
role="user",
content="What is the capital of France?"
),
pollinations.Text.Message(
role="assistant",
content="The capital of France is Paris."
)
],
images=[
pollinations.Text.Message.image("my_file.png"),
pollinations.Text.Message.image("my_file2.png")
],
seed="random",
jsonMode=False,
referrer="pollinations.py"
)
response = text_request(
encode=True # Use proper encoding
)
print(response)
```
# Links
- [Pollinations.ai](https://pollinations.ai/)
- [Discord](https://discord.gg/8HqSRhJVxn)
- [Github](https://github.com/pollinations)
- [Repository](https://github.com/pollinations-ai/pollinations.ai)
- [Youtube](https://www.youtube.com/channel/UCk4yKnLnYfyUmCCbDzOZOug)
- [Instagram](https://instagram.com/pollinations_ai)
- [Twitter (X)](https://twitter.com/pollinations_ai)
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"description": "<div id=\"header\">\r\n <img src=\"https://i.ibb.co/p049Y5S/86964862.png\" width=\"50\"/> <img src=\"https://i.ibb.co/r6JZ336/sketch1700556567238.png\" width=\"250\">\r\n</div>\r\n\r\n# [pollinations.ai - Free AI Text & Image Generation](https://pypi.org/project/pollinations.ai)\r\n[](https://github.com/pollinations-ai/pollinations.ai/blob/main/LICENSE)\r\n[](https://www.python.org/downloads/)\r\n\r\n```\r\npollinations.ai: (https://pollinations.ai/)\r\n\r\nWork with the best generative models from Pollinations using this Python SDK.\r\n```\r\n\r\n## Installing\r\n```shell\r\npip install -U pollinations\r\npip install -U pollinations.ai\r\n\r\n# Linux/macOS\r\npython3 -m pip install -U pollinations\r\npython3 -m pip install -U pollinations.ai\r\n\r\n# Windows\r\npy -3 -m pip install -U pollinations\r\npy -3 -m pip install -U pollinations.ai\r\n```\r\n\r\n## Image Generation\r\n```python\r\nimport pollinations\r\n\r\nimage_model = pollinations.Image(\r\n model=pollinations.Image.flux(),\r\n seed=\"random\",\r\n width=1024,\r\n height=1024,\r\n enhance=False,\r\n nologo=True,\r\n private=True,\r\n safe=False,\r\n referrer=\"pollinations.py\"\r\n) # or pollinations.Image() to use defaults\r\n\r\nimage = image_model(\r\n prompt=\"A cat with flowers around it.\"\r\n)\r\n\r\nprint(image.prompt, image.response)\r\n\r\nimage.save(\r\n file=\"pollinations-image.png\"\r\n)\r\n\r\nprint(pollinations.Image.models())\r\nprint(pollinations.Image.flux())\r\nprint(pollinations.Image.flux.info())\r\n```\r\n### Async Image Generation\r\n```python\r\nimage_model = pollinations.Async.Image() # Has ALL features and functionality of normal Image class\r\n\r\nimage = await image_model(\r\n prompt=\"A cat with flowers around it.\"\r\n)\r\n```\r\n## Text Generation\r\n```python\r\nimport pollinations\r\n\r\ntext_model = pollinations.Text(\r\n model=pollinations.Text.openai(),\r\n system=\"You are a helpful assistant.\",\r\n contextual=True,\r\n messages=[ # or [] or None\r\n pollinations.Text.Message(\r\n role=\"user\",\r\n content=\"What is the capital of France?\"\r\n ),\r\n pollinations.Text.Message(\r\n role=\"assistant\",\r\n content=\"The capital of France is Paris.\"\r\n )\r\n ],\r\n seed=\"random\",\r\n jsonMode=False,\r\n referrer=\"pollinations.py\"\r\n)\r\n\r\nresponse = text_model(\r\n prompt=\"Hello.\",\r\n display=True, # Simulate typing,\r\n encode=True # Use proper encoding\r\n)\r\n\r\nprint(response.prompt, response.response)\r\n\r\nprint(pollinations.Text.models())\r\nprint(pollinations.Text.openai())\r\nprint(pollinations.Text.openai.info())\r\n```\r\n### Async Text Generation\r\n```python\r\ntext_model = pollinations.Async.Text() # Has ALL features and functionality of normal Text class\r\n\r\nresponse = await text_model(\r\n prompt=\"Hello.\"\r\n)\r\n```\r\n## Image Request Building\r\n```python\r\nimport pollinations\r\n\r\nimage_request = pollinations.Image.Request(\r\n model=pollinations.Image.flux(),\r\n prompt=\"A cat with flowers around it.\",\r\n seed=\"random\",\r\n width=1024,\r\n height=1024,\r\n enhance=False,\r\n nologo=True,\r\n private=True,\r\n safe=False,\r\n referrer=\"pollinations.py\"\r\n)\r\n\r\nimage = image_request()\r\n\r\nprint(image.model, image.prompt, image.response)\r\n```\r\n\r\n## Text Request Building\r\n```python\r\nimport pollinations\r\n\r\ntext_request = pollinations.Text.Request(\r\n model=pollinations.Text.openai(),\r\n prompt=\"Hello, how are you?\",\r\n system=\"You are a helpful assistant.\",\r\n contextual=True,\r\n messages=[ # or [] or None\r\n pollinations.Text.Message(\r\n role=\"user\",\r\n content=\"What is the capital of France?\"\r\n ),\r\n pollinations.Text.Message(\r\n role=\"assistant\",\r\n content=\"The capital of France is Paris.\"\r\n )\r\n ],\r\n images=[\r\n pollinations.Text.Message.image(\"my_file.png\"),\r\n pollinations.Text.Message.image(\"my_file2.png\")\r\n ],\r\n seed=\"random\",\r\n jsonMode=False,\r\n referrer=\"pollinations.py\"\r\n)\r\n\r\nresponse = text_request(\r\n encode=True # Use proper encoding\r\n)\r\nprint(response)\r\n```\r\n\r\n# Links\r\n- [Pollinations.ai](https://pollinations.ai/)\r\n- [Discord](https://discord.gg/8HqSRhJVxn)\r\n- [Github](https://github.com/pollinations)\r\n- [Repository](https://github.com/pollinations-ai/pollinations.ai)\r\n- [Youtube](https://www.youtube.com/channel/UCk4yKnLnYfyUmCCbDzOZOug)\r\n- [Instagram](https://instagram.com/pollinations_ai)\r\n- [Twitter (X)](https://twitter.com/pollinations_ai)\r\n",
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