This new Open Source Model is better than Midjourney or SD3?! | Flux local ComfyUI Install Guide
TLDRThe video script discusses the emergence of a new open-source image generation model, Flux, developed by Black Forest, which is being hailed as superior to Midjourney and Stable Diffusion 3. The model is released in three versions: a non-commercial dev model, a commercial-ready Schnell model, and a close-source version accessible via API. The script provides a detailed installation guide for Comfy UI, comparing Flux's capabilities with other models, highlighting its impressive performance in generating detailed and accurate images, especially in rendering hands and complex scenes.
Takeaways
- ๐ The open-source image generation model scene has seen a surge of new models following the release of Stable Diffusion 3.
- ๐ AA Flow and Black Forest's Flux models are two recent additions to the open-source AI image generation models.
- ๐ข Black Forest, the company behind Flux, is more for-profit but still values the open-source community, offering three versions of their model.
- ๐ The three versions of Flux are the non-commercial Dev model, the commercial-ready Schnell model, and a close-source version accessible via API.
- ๐ Flux 1.0 is being praised as 'Next Level' and has been compared favorably to other models like AA Flow and Stable Diffusion 3.
- ๐ The Dev model, while impressive, does not have commercial terms, which is a point of disappointment for those interested in using it for commercial purposes.
- ๐ ๏ธ To run Flux on Comfy UI, users need to download specific model files and configure them correctly within the Comfy UI environment.
- ๐ The script provides a step-by-step guide for downloading and setting up the Flux model on Comfy UI, including the use of a specific text encoder.
- ๐จ Comparisons of image outputs from Flux, AA Flow, and other models show Flux's strengths in areas like finger detail and overall image quality.
- ๐ Flux's ability to handle different prompts and produce high-quality images is highlighted, with examples showcasing its text encoding and image generation capabilities.
- ๐ง The script also discusses the potential for further development and improvements in the open-source image generation model landscape.
Q & A
What is the title of the video script discussing?
-The title of the video script is 'This new Open Source Model is better than Midjourney or SD3?! | Flux local ComfyUI Install Guide'.
What happened after the release of Stable Diffusion 3 that led to a surge in open-source image generation models?
-After the release of Stable Diffusion 3, there was an apparent crumbling of stability in AI, which led to a deluge of different open-source models being released by various groups.
What is the AA flow model and how is it being received in comparison to Stable Diffusion 3?
-The AA flow model is a recently released open-source image generation model that is being hailed as a better alternative to Stable Diffusion 3.
Who is Black Forest and what did they release in the open-source image generation field?
-Black Forest is a company made up of the former SDXL team. They released Flow 1.0, an open-source model that is considered to be next level in comparison to AA flow.
What are the three versions of the Black Forest model and their intended uses?
-The three versions are the Dev model (non-commercial, with potential for licensing), the Schnell model (commercial-ready for projects), and a close-source version released via their API.
What is the issue with Stable Diffusion 3 that the new models aim to solve?
-Stable Diffusion 3 had a problem with generating images of women on grass. The new models, such as AA flow and Black Forest's Flow, aim to solve this issue.
How does the installation process of the Black Forest model on ComfyUI differ from traditional models?
-The Black Forest model requires downloading specific files like the flux one Schnell or flux one Dev, and placing them in the unit folder of ComfyUI, along with the AE sft files in the V folder. It also requires downloading the T5 XXL clip from Hugging Face.
What is the significance of the sft file extension in the context of the Black Forest model?
-The sft file extension represents safe tensor files, which means there is no need to worry about converting or handling them differently during the installation process.
How does the workflow for generating images with the Black Forest model differ from the traditional SDXL workflow?
-The workflow for the Black Forest model uses a custom Advanced sampler with parameters set up as nodes, a Dual clip loader for the text encoder, and a separate loading of the V file, which differs from the traditional model loader.
What are the improvements observed in the Flux model over other open-source models like AA flow and Colors?
-The Flux model shows significant improvements in areas such as human proportions, hand detailing, and text encoding capabilities, making it a step ahead of other open-source models like AA flow and Colors.
How does the Flux model handle different art styles and prompts compared to AA flow and Colors?
-The Flux model demonstrates versatility in handling different art styles and prompts, producing high-quality images with better hand detailing and text encoding, outperforming AA flow and Colors in these aspects.
Outlines
๐ Emergence of New Open Source Image Generation Models
The script discusses the unexpected surge of open-source image generation models following the release of Stable Diffusion 3. The AA flow model is highlighted as a notable example, but the spotlight shifts to Black Forest, a company formed by the former SDXL team, which has released a model called Flow 1.0. The company offers three versions of the model: a non-commercial dev model, a commercial-ready Schnell model, and a close-source version accessible via API. The script provides a step-by-step guide on integrating the Schnell model with Comfy UI, including downloading the model files and setting up the workflow with the T5 XXL CLIP text encoder.
๐ In-Depth Analysis of Flux Model's Workflow and Features
This paragraph delves into the technical aspects of the Flux model's workflow within Comfy UI, explaining the function of each node in the sampler custom advanced setup. It discusses the process of generating images using the model, including the use of different conditioning nodes, the clip text encoder, and the dual clip loader. The paragraph also touches on the model's ability to replicate prompts accurately and introduces a workflow comparison tool for evaluating different models' outputs. The script shares the results of image generation using the same prompt across Flux, AA flow, and other models, noting the Flux model's superior performance in rendering hands and overall image quality.
๐จ Comparative Evaluation of Flux Model with Other Image Generation Models
The script continues with a comparative analysis of the Flux model against other models like AA flow and Colors, using various prompts and settings. It notes the Flux model's consistent performance in creating high-quality images with correct human proportions and details. The comparison also includes experimenting with different seeds and parameters, highlighting the Flux model's ability to handle various art styles and text encoding capabilities effectively. The paragraph discusses the model's room for improvement, particularly in the area of hand rendering in other models, and the potential for refinement through upscaling or additional parameters tweaking.
๐ Flux Model's Superiority and Future Prospects for Open Source Image Generation
The final paragraph wraps up the discussion by emphasizing the Flux model's significant advancements over other open-source models. It showcases the model's ability to generate detailed and cinematic images, even with different schedulers and step numbers. The script also speculates on the future of open-source image generation models, expressing optimism for rapid development driven by competition among model creators. The content creator's challenge of keeping up with the fast pace of development in the field is acknowledged, and the script concludes with an anticipation for further advancements in the space.
Mindmap
Keywords
Open Source Model
Stable Diffusion 3
AA Flow Model
Black Forest
Flux 1.0
Comfy UI
T5 XXL Clip
Workflow
Sampler
Scheduler
ControlNet
Highlights
The emergence of a new open-source image generation model, Flux, which is considered superior to Midjourney and Stable Diffusion 3.
The release of multiple open-source models by different groups post the release of Stable Diffusion 3.
Introduction of the AA Flow model, which is being praised as a better alternative to Stable Diffusion 3.
Black Forest, the former SDXL team, has released Flux 1.0, an impressive model in the image generation field.
Black Forest is a for-profit company that still values the open-source community and has released three versions of their model.
The Dev model of Flux is non-commercial but can be used with a license, showcasing impressive capabilities.
The Schnell model is a commercial-ready version of Flux, suitable for project integration with clear terms of use.
Flux models solve the issue that Stable Diffusion 3 had with generating images of women on grass.
A disappointment that the Dev model lacks commercial terms despite its impressive performance.
Instructions on how to get Flux running on Comfy UI, including downloading the model files and setting up the workflow.
The necessity of downloading the T5 XXL Clip for the text encoder, which is the same one used in Stable Diffusion 3.
A detailed explanation of the workflow components for Flux in Comfy UI, including the Sampler, Guide, and other nodes.
Comparison of the image generation results from Flux, AA Flow, and Colors models using the same prompt and seed.
Flux's consistent ability to produce decent hands in generated images, which is a notable improvement over other models.
The art style preference between AA Flow 0.1 and 0.2, with the former being preferred by the reviewer.
The frustration with the Colors model's inability to produce accurate hands compared to Flux and AA Flow.
Experiments with more realistic prompts in Flux, showcasing improvements in character and environment generation.
The unique capability of the Schnell model to change the output significantly with different numbers of steps.
The potential of Flux to be a game-changer in the open-source image generation model space, outperforming other models.
The anticipation for the development of other open-source models like AA Flow and the impact of competition on innovation.