Demo of Black Forest Labs FLUX.1 Open Source AI

Adam, the host and co-founder of NtIdus, introduces the audience to NtIdus Breach Cast, an iOS app designed for identity management professionals. He then shifts focus to discuss Flux One from Black Forest Labs, an open-source AI image generation tool that has quickly dominated the AI image generation space. Adam expresses excitement about the tool and intends to demonstrate its installation using Comfy UI. He praises the image quality produced by Flux One and mentions three models: Schnell, Dev, and Pro, with the first two being open-source and the latter available as an online service.

The host provides a step-by-step guide to download Comfy UI, the user interface for Flux One. He directs the audience to download Comfy UI and save it to their system. The file is large, approximately 1.5GB, and the host uses 7-Zip to extract the files. While the extraction is in progress, Adam continues to download additional necessary files for the AI image generation process, including T5 XL fp16 safe tensor files and other model-related files. He emphasizes the importance of trying the fp16 version for better image quality, but acknowledges the fp8 version as an alternative for systems with less RAM.

Adam explains the need to organize the downloaded AI model files into specific directories within the Comfy UI structure. He walks through placing the fp16 safe tensor file into the models/clip directory and the V (variational Autoencoder) file into the models directory. The host discusses the role of the V file in enhancing image details and colors in the generated images. He also mentions downloading the actual weights for the Flux One diffusion model from Hugging Face and placing them into the comyy models unit directory.

The host demonstrates how to start Comfy UI, detailing the use of batch files for both CPU and GPU operation, with a preference for the latter due to speed. He shows the Comfy UI interface and explains how to import an image to recreate its generation workflow within Comfy UI. Adam再生 the image using the imported workflow and discusses the impact of the noise seed on image variation. He then experiments with changing the seed to show how different images can be generated from the same prompt.

Adam shares his experience with using various prompts to generate images with Flux One. He discusses the results of different prompts, such as creating a Viking ship in a storm and a duck made of ducks, emphasizing the creativity and flexibility of AI image generation. The host also mentions the potential of AI to replace traditional roles like graphic designers and photographers due to the high quality and realism of generated images.

The host compares the free, locally-run Flux One Dev model with the paid Pro model service. He generates the same image using both models to show the subtle differences in quality and detail, noting that while the Dev model is impressive, the Pro model offers a slight edge for critical applications. Adam also discusses the cost-effectiveness of using the Pro model, which charges a minimal fee per image.

Adam demonstrates the capability to turn generated images into videos using Runway ML, a site that converts images into videos with impressive effects. He shows the process of uploading an image, selecting animation options, and generating a video. The host expresses excitement about the potential of AI in image and video generation and encourages viewers to explore and create their own content.

In the final paragraph, Adam promotes the NtIdus Breach Cast iOS app, highlighting its features such as real-time updates on security breaches, a vendor list for identity management products, and a glossary of terms. He positions the app as a valuable tool for identity management professionals, providing a comprehensive resource without ads.