Odyssey is a powerful native Mac application designed to empower creators with AI-driven tools. It offers a comprehensive suite of features for image generation, processing, and automation, as well as language models and math equation solving capabilities. Odyssey caters to a wide range of users, from students and educators to artists, marketers, photographers, AI enthusiasts, and developers.
Odyssey: Imagine. Create. Automate.
Odyssey is a native Mac app for creating remarkable art, getting work done, and automating repetitive tasks with the power of AI.
Introduction
Feature
AI-Powered Image Generation and Processing
- Run Stable Diffusion models locally (1.5, SDXL, SDXL Turbo)
- Connect to Stable Diffusion 3 API
- Upscale images up to 8K resolution
- Apply creative upscaling and image transformation
- Support for custom Stable Diffusion models, including ControlNet
Advanced Image Editing Tools
- Multiple background removal models
- In-painting, out-painting, and object erasure
- Dozens of image processing nodes (aspect ratio, resizing, blurring, etc.)
- Custom image transitions for slideshows
Language Models and Math Capabilities
- Run Llama2-based models locally
- Integrate with ChatGPT using your API key
- Solve word problems and math equations with the Solver node
Automation and Workflow Integration
- Create batch workflows
- Run workflows from desktop with Odyssey Widgets
- Integrate with Apple Shortcuts
Privacy and Customization
- Completely private and secure
- No data storage or access by the Odyssey team
- Customizable features and models
FAQ
Who can benefit from using Odyssey?
Odyssey is designed for a diverse user base, including:
- Students: Essay writing, summarization, discussion responses
- Educators: Lesson planning, writing prompt generation
- Artists: Custom image generation, ControlNet integration, image processing
- Marketers: Chatbot creation, social media content generation
- Photographers: Product image variations, scene manipulation
- AI Hobbyists: Alternative to ComfyUI and Automatic1111
- Developers: Prompt testing and image setting optimization
What are the pricing options for Odyssey?
Odyssey offers two pricing options:
- Monthly subscription: $11.99/month (all features, unlimited devices)
- One-time purchase: $119 (all features, 1 year of updates)
How does Odyssey compare to other AI tools?
Odyssey stands out by offering:
- Native Mac application for seamless integration
- Comprehensive suite of AI-powered tools in one package
- Local processing capabilities for enhanced privacy
- User-friendly interface accessible to various skill levels
- Flexibility to use both local models and API connections
Latest Traffic Insights
Monthly Visits
10.51 K
Bounce Rate
40.88%
Pages Per Visit
2.03
Time on Site(s)
44.98
Global Rank
2145418
Country Rank
United States 1477883
Recent Visits
Traffic Sources
- Social Media:20.50%
- Paid Referrals:0.90%
- Email:0.11%
- Referrals:8.40%
- Search Engines:36.05%
- Direct:34.01%
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![Midjourney API - Automate Midjourney AI Image Generation
This document outlines how to use the Midjourney API to automate the generation of AI images.
What is the Midjourney API?
The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows.
Why Use the Midjourney API?
* Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects.
* Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values.
* Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms.
Getting Started
1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API.
2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings.
3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go.
4. Install the API Client: Install the appropriate API client library for your chosen language.
5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server.
Example (Python):
```python
import midjourney
Replace with your actual API key
api_key = "YOUR_API_KEY"
Create a Midjourney client
client = midjourney.Client(api_key=api_key)
Generate an image
response = client.create_image(prompt="A cat wearing a hat", num_images=1)
Print the image URL
print(response.images[0].url)
```
Documentation and Resources
For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)](https://static.right-ai.com/tools/2024/7/10/apiframe-pro-thumbnail-1720625482.png "Midjourney API - Automate Midjourney AI Image Generation
This document outlines how to use the Midjourney API to automate the generation of AI images.
What is the Midjourney API?
The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows.
Why Use the Midjourney API?
* Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects.
* Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values.
* Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms.
Getting Started
1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API.
2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings.
3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go.
4. Install the API Client: Install the appropriate API client library for your chosen language.
5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server.
Example (Python):
```python
import midjourney
Replace with your actual API key
api_key = \"YOUR_API_KEY\"
Create a Midjourney client
client = midjourney.Client(api_key=api_key)
Generate an image
response = client.create_image(prompt=\"A cat wearing a hat\", num_images=1)
Print the image URL
print(response.images[0].url)
```
Documentation and Resources
For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)")
Midjourney API - Automate Midjourney AI Image Generation This document outlines how to use the Midjourney API to automate the generation of AI images. What is the Midjourney API? The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows. Why Use the Midjourney API? * Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects. * Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values. * Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms. Getting Started 1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API. 2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings. 3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go. 4. Install the API Client: Install the appropriate API client library for your chosen language. 5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server. Example (Python): ```python import midjourney Replace with your actual API key api_key = "YOUR_API_KEY" Create a Midjourney client client = midjourney.Client(api_key=api_key) Generate an image response = client.create_image(prompt="A cat wearing a hat", num_images=1) Print the image URL print(response.images[0].url) ``` Documentation and Resources For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)
Midjourney API - Automate Midjourney AI Image Generation This document outlines how to use the Midjourney API to automate the generation of AI images. What is the Midjourney API? The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows. Why Use the Midjourney API? * Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects. * Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values. * Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms. Getting Started 1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API. 2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings. 3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go. 4. Install the API Client: Install the appropriate API client library for your chosen language. 5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server. Example (Python): ```python import midjourney Replace with your actual API key api_key = "YOUR_API_KEY" Create a Midjourney client client = midjourney.Client(api_key=api_key) Generate an image response = client.create_image(prompt="A cat wearing a hat", num_images=1) Print the image URL print(response.images[0].url) ``` Documentation and Resources For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)Easily integrate Midjourney AI into your apps using the Midjourney API. Start creating AI images automatically today!
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![Batch Save ChatGPT to Notion
This is a guide on how to save multiple ChatGPT responses to Notion in a batch.
Tools You'll Need:
* ChatGPT: An AI chatbot that can generate text.
* Notion: A note-taking and project management tool.
* Python: A programming language.
* Requests Library: A Python library for making HTTP requests.
Steps:
1. Get Your Notion API Token:
- Go to your Notion workspace settings.
- Navigate to the "Integrations" tab.
- Click "Create new integration" and choose "API Token".
- Copy your API token.
2. Install Python Libraries:
- Open your terminal or command prompt.
- Type `pip install requests` and press Enter.
3. Write Python Script:
- Create a new Python file (e.g., `save_chatgpt_to_notion.py`).
- Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token:
```python
import requests
def save_chatgpt_response_to_notion(response, page_id, token):
"""Saves a ChatGPT response to a Notion page."""
url = f"https://api.notion.com/v1/pages/{page_id}/children"
headers = {"Authorization": f"Bearer {token}"}
data = {
"parent": {
"page_id": page_id
},
"properties": {
"title": {
"title": [
{
"text": {
"content": "ChatGPT Response"
}
}
]
},
"content": {
"rich_text": [
{
"text": {
"content": response
}
}
]
}
}
}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)
Example usage
page_id = "YOUR_NOTION_PAGE_ID"
token = "YOUR_NOTION_API_TOKEN"
Get ChatGPT responses (replace with your actual ChatGPT interaction)
chatgpt_responses = [
"This is the first ChatGPT response.",
"This is the second ChatGPT response.",
"This is the third ChatGPT response."
]
Save each response to Notion
for response in chatgpt_responses:
save_chatgpt_response_to_notion(response, page_id, token)
```
4. Run the Script:
- In your terminal, navigate to the directory where you saved the Python file.
- Type `python save_chatgpt_to_notion.py` and press Enter.
5. Check Notion:
- Open your Notion workspace and go to the page specified by `page_id`.
- You should see your ChatGPT responses saved as separate blocks.](https://static.right-ai.com/tools/2024/7/4/chromewebstore-google-com-detail-save-chatgpt-to-notion-da-djefhicmpbpmmlagbgooepmbobdhajgn-thumbnail-1720087209.png "Batch Save ChatGPT to Notion
This is a guide on how to save multiple ChatGPT responses to Notion in a batch.
Tools You'll Need:
* ChatGPT: An AI chatbot that can generate text.
* Notion: A note-taking and project management tool.
* Python: A programming language.
* Requests Library: A Python library for making HTTP requests.
Steps:
1. Get Your Notion API Token:
- Go to your Notion workspace settings.
- Navigate to the \"Integrations\" tab.
- Click \"Create new integration\" and choose \"API Token\".
- Copy your API token.
2. Install Python Libraries:
- Open your terminal or command prompt.
- Type `pip install requests` and press Enter.
3. Write Python Script:
- Create a new Python file (e.g., `save_chatgpt_to_notion.py`).
- Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token:
```python
import requests
def save_chatgpt_response_to_notion(response, page_id, token):
\"\"\"Saves a ChatGPT response to a Notion page.\"\"\"
url = f\"https://api.notion.com/v1/pages/{page_id}/children\"
headers = {\"Authorization\": f\"Bearer {token}\"}
data = {
\"parent\": {
\"page_id\": page_id
},
\"properties\": {
\"title\": {
\"title\": [
{
\"text\": {
\"content\": \"ChatGPT Response\"
}
}
]
},
\"content\": {
\"rich_text\": [
{
\"text\": {
\"content\": response
}
}
]
}
}
}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)
Example usage
page_id = \"YOUR_NOTION_PAGE_ID\"
token = \"YOUR_NOTION_API_TOKEN\"
Get ChatGPT responses (replace with your actual ChatGPT interaction)
chatgpt_responses = [
\"This is the first ChatGPT response.\",
\"This is the second ChatGPT response.\",
\"This is the third ChatGPT response.\"
]
Save each response to Notion
for response in chatgpt_responses:
save_chatgpt_response_to_notion(response, page_id, token)
```
4. Run the Script:
- In your terminal, navigate to the directory where you saved the Python file.
- Type `python save_chatgpt_to_notion.py` and press Enter.
5. Check Notion:
- Open your Notion workspace and go to the page specified by `page_id`.
- You should see your ChatGPT responses saved as separate blocks.")
Batch Save ChatGPT to Notion This is a guide on how to save multiple ChatGPT responses to Notion in a batch. Tools You'll Need: * ChatGPT: An AI chatbot that can generate text. * Notion: A note-taking and project management tool. * Python: A programming language. * Requests Library: A Python library for making HTTP requests. Steps: 1. Get Your Notion API Token: - Go to your Notion workspace settings. - Navigate to the "Integrations" tab. - Click "Create new integration" and choose "API Token". - Copy your API token. 2. Install Python Libraries: - Open your terminal or command prompt. - Type `pip install requests` and press Enter. 3. Write Python Script: - Create a new Python file (e.g., `save_chatgpt_to_notion.py`). - Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token: ```python import requests def save_chatgpt_response_to_notion(response, page_id, token): """Saves a ChatGPT response to a Notion page.""" url = f"https://api.notion.com/v1/pages/{page_id}/children" headers = {"Authorization": f"Bearer {token}"} data = { "parent": { "page_id": page_id }, "properties": { "title": { "title": [ { "text": { "content": "ChatGPT Response" } } ] }, "content": { "rich_text": [ { "text": { "content": response } } ] } } } response = requests.post(url, headers=headers, json=data) print(response.status_code) Example usage page_id = "YOUR_NOTION_PAGE_ID" token = "YOUR_NOTION_API_TOKEN" Get ChatGPT responses (replace with your actual ChatGPT interaction) chatgpt_responses = [ "This is the first ChatGPT response.", "This is the second ChatGPT response.", "This is the third ChatGPT response." ] Save each response to Notion for response in chatgpt_responses: save_chatgpt_response_to_notion(response, page_id, token) ``` 4. Run the Script: - In your terminal, navigate to the directory where you saved the Python file. - Type `python save_chatgpt_to_notion.py` and press Enter. 5. Check Notion: - Open your Notion workspace and go to the page specified by `page_id`. - You should see your ChatGPT responses saved as separate blocks.
Batch Save ChatGPT to Notion This is a guide on how to save multiple ChatGPT responses to Notion in a batch. Tools You'll Need: * ChatGPT: An AI chatbot that can generate text. * Notion: A note-taking and project management tool. * Python: A programming language. * Requests Library: A Python library for making HTTP requests. Steps: 1. Get Your Notion API Token: - Go to your Notion workspace settings. - Navigate to the "Integrations" tab. - Click "Create new integration" and choose "API Token". - Copy your API token. 2. Install Python Libraries: - Open your terminal or command prompt. - Type `pip install requests` and press Enter. 3. Write Python Script: - Create a new Python file (e.g., `save_chatgpt_to_notion.py`). - Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token: ```python import requests def save_chatgpt_response_to_notion(response, page_id, token): """Saves a ChatGPT response to a Notion page.""" url = f"https://api.notion.com/v1/pages/{page_id}/children" headers = {"Authorization": f"Bearer {token}"} data = { "parent": { "page_id": page_id }, "properties": { "title": { "title": [ { "text": { "content": "ChatGPT Response" } } ] }, "content": { "rich_text": [ { "text": { "content": response } } ] } } } response = requests.post(url, headers=headers, json=data) print(response.status_code) Example usage page_id = "YOUR_NOTION_PAGE_ID" token = "YOUR_NOTION_API_TOKEN" Get ChatGPT responses (replace with your actual ChatGPT interaction) chatgpt_responses = [ "This is the first ChatGPT response.", "This is the second ChatGPT response.", "This is the third ChatGPT response." ] Save each response to Notion for response in chatgpt_responses: save_chatgpt_response_to_notion(response, page_id, token) ``` 4. Run the Script: - In your terminal, navigate to the directory where you saved the Python file. - Type `python save_chatgpt_to_notion.py` and press Enter. 5. Check Notion: - Open your Notion workspace and go to the page specified by `page_id`. - You should see your ChatGPT responses saved as separate blocks.Save ChatGPT Conversations to Notion with One Click Export your ChatGPT conversations directly to Notion with a single click.
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