Flux.1 Pro is the NEW KING! Custom app to run it!
TLDRIn this video, Abigail introduces the new Flux.1 Pro model from Black Forest Lamps, a company founded by members of the Stability AI team. With a focus on video and image generation, the team has released three models: Flux.1 Dev, Flux.1 Schell, and Flux.1 Pro. The Pro model, which is the highlight of the video, offers high-quality generation comparable to the Dev model but with an emphasis on speed. Abigail demonstrates a custom Python script that runs the Flux.1 Pro model via an API key, showcasing its capabilities in generating images from text prompts, including handling text on objects and recognizing fonts. The video also teases upcoming content and encourages viewers to join the 'Abigail's Army' community.
Takeaways
- 😀 The video introduces a new model called Flux.1 Pro by Black Forest Lamps, a company founded by members of Stability AI.
- 🎉 Black Forest Lamps has recently completed a series seed funding round, raising 31 million dollars.
- 🔥 The Flux model comes in three versions: Flux.1 Dev, Flux.1 Schell, and Flux.1 Pro, each offering different levels of speed and quality.
- 🚀 Flux.1 Pro is the top model, offering high quality and speed similar to the Dev version.
- 🛠️ The video demonstrates a custom Python script with a simple GUI for generating images using the Flux.1 Pro model via an API key.
- 🖼️ The script allows users to input prompts, select aspect ratios, and adjust parameters like steps, guidance intervals, and safety tolerance for image generation.
- 📸 The video shows the process of generating images with different prompts and aspect ratios, highlighting the model's ability to handle text and create logos.
- 📈 The presenter tests the model's text capabilities by asking it to generate images with specific text on objects, such as a truck with 'Pizza Barn' on the side.
- 🧐 The video explores the model's ability to recognize and apply different fonts, with varying degrees of success.
- 💡 The presenter suggests that the Flux model's strength lies in its text handling abilities and its potential for creating detailed and accurate images based on text prompts.
- 🔍 The video ends with a teaser for more content to come, including a closer look at the workflow and potential updates to the custom Python script.
Q & A
What is the new model introduced by Black Forest Lamps?
-The new model introduced by Black Forest Lamps is called Flux, which is a product of the collaboration between some members of the Hold Stability AI team.
What is the area of expertise of the Black Forest team?
-The Black Forest team specializes in video and image generation, with a focus on video generation technologies such as Stable Diffusion, Stable Fusion, and video rectified flow Transformers.
How much seed funding did Black Forest Lamps recently secure?
-Black Forest Lamps recently secured 31 million dollars in their seed funding round.
What are the three versions of the Flux model?
-The three versions of the Flux model are Flux.one Dev, Flux.one Schell, and Flux.one Pro.
What is the difference between Flux.one Dev and Flux.one Schell in terms of quality and speed?
-Flux.one Dev is an all-around model with better quality than Flux.one Schell but is slightly slower. Flux.one Schell is faster but may have lower quality due to its speed.
Why is the Flux.one Pro model particularly intriguing?
-Flux.one Pro is intriguing because it offers the best quality among the three models and is as fast, if not slightly faster, than the Dev model.
What is the purpose of the custom program coded by Ed?
-The custom program coded by Ed is designed to run Flux Pro via an API key through a simple GUI (Graphical User Interface), allowing for the generation of images with specific prompts.
How does the custom program interface with the user?
-The custom program has a simple GUI that allows users to input prompts, select aspect ratios, adjust steps, guidance intervals, and safety tolerance, and save the generated images.
What is the significance of the text abilities of the Flux model?
-The text abilities of the Flux model are significant because they allow the model to handle text inputs effectively, which is crucial for generating images based on textual prompts.
How does the Flux model handle text in image generation?
-The Flux model demonstrates the ability to recognize and incorporate text into image generation, including the potential to recognize and replicate certain fonts to some extent.
What is the next step for the custom program developed for Flux Pro?
-The next step is to enhance the custom program by adding more features and possibly releasing it for others to use, provided they have an API key and meet the necessary requirements.
Outlines
🌟 Introduction to Flux Model by Black Forest Lamps
The script opens with a lively introduction to a new model called Flux, developed by Black Forest Lamps, a team known for their work in video generation technology. The model has gained attention on YouTube and the internet. The team recently secured $31 million in seed funding, which sparks a humorous discussion about what one could do with such a sum. The Flux model comes in three versions: Dev, Schell, and Pro, each with varying speeds and qualities. The video aims to explore the capabilities of the Flux Pro model, which is intriguing due to its balance of speed and quality.
🛠️ Demonstrating Flux Pro Image Generator
The script continues with a demonstration of a simple Python script that serves as a GUI for generating images using the Flux Pro model. The program allows users to input prompts, select aspect ratios, and adjust settings like steps, guidance intervals, and safety tolerance. The presenter tests the program by using prompts sourced from Chat GBT, generating images with different aspect ratios and settings. The script highlights the ease of use and the quality of the generated images, showcasing the model's ability to handle text and create detailed scenes.
🚀 Exploring Text and Font Recognition in Flux Pro
This paragraph delves into the Flux Pro model's capabilities in text and font recognition. The presenter tests the model by inputting prompts with specific text and font requests, such as 'Pizza Barn' and 'Great Bunny' on a hoodie. The model successfully generates images with the requested text, indicating its ability to understand and render text accurately. The presenter also experiments with different fonts, including Roboto and Rockwell, to see if the model can recognize and replicate them, with varying degrees of success.
🎨 Final Thoughts and Future Plans for Flux Pro
The script concludes with the presenter's final thoughts on the Flux Pro model and its performance. Despite some difficulties with complex prompts, the model demonstrates impressive capabilities in text and image generation. The presenter expresses intentions to continue working on the Python script, adding more features and making it available for the audience to use, pending the acquisition of an API key and meeting certain technical requirements. The video ends with a teaser for future updates and a playful invitation for viewers to join the 'Abigail's Army' community.
Mindmap
Keywords
💡Flux.1 Pro
💡Black Forest Lamps
💡Stable Diffusion
💡API Key
💡Image Generation
💡Replicate
💡Python Script
💡GUI (Graphical User Interface)
💡Prompt
💡Aspect Ratio
💡Text Abilities
Highlights
Flux.1 Pro is introduced as a new model by Black Forest Lamps, founded by members of Stability AI.
Black Forest Lamps is dedicated to video and image generation, with recent advancements in stable diffusion and flow transformers.
The team has recently secured $31 million in seed funding.
Flux model comes in three versions: Dev, Schell, and Pro, each with different speeds and qualities.
Flux.1 Pro offers high-quality image generation comparable to the Dev model but potentially faster.
A custom Python script with a simple GUI has been created to run Flux.1 Pro via an API key.
The script allows users to input prompts, select aspect ratios, and adjust generation parameters.
The generated images can be saved directly from the GUI.
The presenter tests the script with various prompts to demonstrate its capabilities.
The model's text handling abilities are showcased, including generating images with specific text on them.
The presenter explores the model's ability to recognize and apply different fonts to text in images.
The model successfully generates an image with the text 'Pizza Barn' on a truck, adhering to the prompt.
An attempt to generate an image with the text 'Grape Greet Bunny' on a hoodie is made, testing text placement.
The model's response to a prompt for a 'robot' font is tested, showing its ability to interpret and apply fonts.
The presenter tries to generate an image with the 'Rockwell' font to further test the model's font recognition.
The model generates an image with the text 'Abigail's Army', demonstrating its ability to create logos.
The presenter mentions the need for an API key and suggests running the script in a virtual environment for best results.
The video concludes with a teaser for more updates on the custom script and its development.