Flux.2 Dev GGUF in ComfyUI: Quality & Speed Comparison (City96 vs GGUF-ORG)

Flux.2 Dev Review ComfyUI Setup: https://youtu.be/MoAwonm53hQ Download the Workflows from the resources section below! Curious about running Flux.2 on your machine efficiently? In this video, we dive into the GGUF versions of Flux.2 available on Hugging Face, specifically comparing the GGUF-ORG and City96 models. We'll explore the differences, evaluate their quality and speed across various quantization levels (Q2 to Q8), and determine whether these quantized versions are worth integrating into your workflow. If you need a review of the original Flux.2 model, make sure to check out yesterday's video! We provide a detailed look at image generation examples, showcasing the trade-offs in quality from Q2 up to Q8, and note how lower quantization can affect details and realism. A significant part of our analysis focuses on the challenges with text generation in these quantized models, revealing inconsistencies and errors. Importantly, we guide you through the complete setup process for both the City96 and GGUF-ORG versions within ComfyUI, including installing necessary custom nodes and modifying your workflows for seamless integration. By the end of this video, you'll have a clear understanding of which Flux.2 GGUF version best suits your computational resources and creative needs. We offer practical recommendations, suggesting Q4 for a balance of quality and performance, and Q2 for maximum speed, even with some compromises. Don't miss out on optimizing your Flux.2 experience! If you found this video helpful, please give it a like and subscribe to the channel so you don't miss out on future tutorials. You can also support the channel by joining my Patreon or becoming a free member. [SUPPORT THE CHANNEL] Patreon: https://www.patreon.com/codecrafterscorner Donation or One-on-One training: Please reach out by email ([email protected]) and I will send you the necessary information. [RESOURCES] City96: https://huggingface.co/city96/FLUX.2-dev-gguf gguf-org: https://huggingface.co/gguf-org/flux2-dev-gguf Workflow: https://github.com/SharCodin/YouTube-Video-Archive/tree/main-branch/2025/Flux.2-Dev-GGUF [SOCIAL MEDIA] YouTube Channel: https://bit.ly/4b0o8dQ Twitter X: https://bit.ly/3ReP9D3 [BUSINESS INQUIRIES] For professional inquiries and collaborations, please contact me via email: Email: [email protected] (Use this email for business-related matters only) [LAST FEW VIDEOS] Flux.2 Dev Review ComfyUI Setup: https://youtu.be/MoAwonm53hQ Relight Qwen LoRA ComfyUI: https://youtu.be/qjgyws9bFzQ Waifu2x Upscaling Guide: https://youtu.be/H0llkcK5f78 Qwen Fix Plastic Skin LoRA ComfyUI: https://youtu.be/NvAKDCU_Mn4 Qwen InPainting ComfyUI Precise Edits: https://youtu.be/koZj1nl3TLQ Qwen Image Edit ComfyUI Workflow: https://youtu.be/KSpIx63fBHE Qwen Image Edit ComfyUI Update: https://youtu.be/rXQh1dHZSAo ComfyUI Custom Templates Workflows Easy Setup: https://youtu.be/WqYbFeo59BU ComfyUI Consistent Character Sheets Multi-View: https://youtu.be/pxXqs0O2-4U ComfyUI Subgraphs Templates: https://youtu.be/QN42BjE4jxg [TIMESTAMPS] 00:00 Intro: Flux.2 GGUF Models Explained 00:09 Two GGUF Versions: City96 vs GGUF-ORG 00:36 Quantization Levels (Q2-Q8) & Quality Impact 01:28 Image Comparison: Original vs Quantized Versions 03:49 Major Issue: Text Generation Problems 06:49 How to Setup City96 GGUF in ComfyUI 08:51 How to Setup GGUF-ORG in ComfyUI 12:32 Final Recommendations & Conclusion Thank you for watching! [TAGS] comfyui, Sharvin, Code Crafters Corner, CodeCraftersCorner, Flux.2, GGUF, AI model, image generation, text generation, ComfyUI, City96, GGUF-ORG, quantized models, machine learning, deep learning, AI art, Stable Diffusion, model comparison, AI workflow [HASHTAGS] #StableDiffusion #ComfyUI #codecrafterscorner #Flux2 #GGUF #AIArt #ComfyUI #StableDiffusion