Stable Diffusion 3 API Tutorial | Testing the Power of This New Model by Stability AI
TLDRStability AI's latest model, Stable Diffusion 3, is introduced with an API tutorial. The tutorial guides users through logging into Stability AI, accessing the developer platform, and generating images using the API. It covers the cost of generating images with the model, which is 6.5 credit points per image, and notes that Stability AI offers 25 free credits. The process includes creating a Python file, installing the requests package, and adding an API key. The tutorial demonstrates generating an image of a dog wearing black glasses and experimenting with more complex prompts. The model's strengths are highlighted, such as accurately interpreting text and following instructions for clothing and character depiction. However, limitations are also mentioned, including potential blurriness with explicit image requests and API responses flagging sensitive topics. The video concludes by inviting viewers to ask questions and engage with the content.
Takeaways
- π Stability AI has released a new model called Stable Diffusion 3, which is accessible via API only.
- π To use the API, you need to log into your Stability AI account and navigate to the developer platform.
- π You can create a new API key from your account settings for authentication purposes.
- π° Generating an image with Stable Diffusion 3 costs 6.5 credit points, which is more expensive compared to other models.
- π Stability AI provides 25 free credits to users, allowing for three images to be generated with the new model.
- π‘ Before purchasing more credits, it's suggested to wait for the release of the model's weights.
- π To get started, open Visual Studio Code, create a Python file, and paste the API request sample.
- π οΈ Install the 'requests' package using pip in the terminal for making API calls.
- π Add your API key to the Python file to authenticate your requests.
- πΆ Test the model by generating an image with a default prompt, such as an image of a dog wearing black glasses.
- π Feel free to adjust parameters like aspect ratio, seed number, and model settings for more control over the generated images.
- π The model demonstrated accuracy and precision in handling complex prompts, including text interpretation and specific requests for clothing and colors.
- π« There are limitations, such as the model's response to explicit image requests and sensitive topics, which may result in a blurry image or a flagged request by the API's moderation system.
Q & A
What is the name of the latest creation by Stability AI that is mentioned in the tutorial?
-The latest creation by Stability AI is called Stable Diffusion 3.
How can users access Stable Diffusion 3?
-Stable Diffusion 3 is accessible via the API provided by Stability AI.
What is the cost of generating one image using Stable Diffusion 3?
-Generating one image using Stable Diffusion 3 costs 6.5 credit points.
How many free credits does Stability AI offer to its users?
-Stability AI offers 25 free credits to its users.
What does the user need to do to create a new API key for Stable Diffusion 3?
-The user needs to log into their Stability AI account, go to the developer platform, and then click on their profile picture to access the settings where they can create a new API key.
What is required to install the requests package in Visual Studio Code?
-To install the requests package, the user needs to open a terminal window in Visual Studio Code and use the command 'pip install requests'.
What is the default prompt used for generating an image of a dog wearing black glasses?
-The default prompt used is not specified in the script, but it is implied that the API uses a standard prompt to generate an image based on the description provided.
How can users control aspects like aspect ratio and seed number when generating an image?
-Users can add other parameters to the Python file to control aspects like aspect ratio, seed number, and even the model itself.
What happens if the model encounters an explicit image request?
-If the model encounters an explicit image request, the resulting image may appear blurry.
What is the consequence of using NSFW words or prompts related to sensitive topics?
-Using NSFW words or prompts related to sensitive topics may result in a response from the API indicating that the request was flagged in their moderation system.
What does the acronym NSFW stand for?
-NSFW stands for 'Not Safe For Work', which refers to content that is inappropriate for a professional setting.
How can viewers get more information or ask questions about the tutorial?
-Viewers can leave comments below the tutorial video if they have any questions or need clarification on anything covered.
Outlines
π Introduction to Stable Diffusion 3 API
Stability AI has introduced a new model called Stable Diffusion 3, which is accessible only through an API. The video provides a tutorial on how to use this API to generate images. The presenter expresses anticipation about the model's capabilities and plans to test it by generating an image of a dog wearing black glasses using a default prompt. The cost of generating an image with Stable Diffusion 3 is noted to be 6.5 credit points, which is relatively high compared to other models. Stability AI offers 25 free credits to users, which equates to three images with the new model. The presenter has used some of these credits for testing and suggests waiting before purchasing more credits until the model's weights are released. The process begins with setting up a Python file in Visual Studio Code, installing the 'requests' package, and adding the API key for image generation.
Mindmap
Keywords
π‘Stable Diffusion 3
π‘API
π‘Python
π‘API Key
π‘Credit Points
π‘Visual Studio Code
π‘Requests Package
π‘Prompt
π‘Aspect Ratio
π‘Seed Number
π‘NSFW Content
Highlights
Stability AI has introduced Stable Diffusion 3, which is accessible only via API.
The tutorial demonstrates how to use the API to generate images.
The process includes logging into Stability AI, accessing the developer platform, and copying a Python request sample.
Users need to create an API key in their settings, which is used for generating images.
Generating an image with Stable Diffusion 3 costs 6.5 credit points, which is more expensive than other models.
Stability AI provides 25 free credits to users, allowing for three images to be generated with Stable Diffusion 3.
The tutorial suggests waiting to purchase more credits until the model's weights are released.
Visual Studio Code is used to create a Python file and install the 'requests' package for API interaction.
The API key is added to the Python file to authenticate the user's requests.
The first test generates an image of a dog wearing black glasses using a default prompt.
Parameters can be added to control aspects such as aspect ratio, seed number, and the model itself.
The model correctly interpreted a complex prompt involving text, placing glasses on a cat's paw.
The model demonstrated precision by following specific instructions regarding clothing and colors.
Stable Diffusion 3 accurately depicted clothing and characters as requested in another example.
The model has limitations, such as producing blurry images for explicit requests or flagged responses for sensitive topics.
The tutorial encourages further exploration and experimentation with different prompts to understand the model's capabilities.
The video concludes with an invitation for questions and comments, and a reminder to like, share, and subscribe for more content.