Hi! This is a simple workflow to create realistic images using Flux Dev, Schnell, Kontext or other models with only a laptop and 4GB VRAM.The Workflow uses GGUF files , uses two samplers and torch teacache etc for speed.In only 30 steps im getting semi realistic images with🎥 Video Explainer:<div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/4C0RJ01yRok" start="0"></iframe></div>📦 DOWNLOAD SECTIONOnly MODELS (not VAE or CLIP)<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/city96/FLUX.1-dev-gguf">https://huggingface.co/city96/FLUX.1-dev-gguf</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/city96/FLUX.1-schnell-gguf">https://huggingface.co/city96/FLUX.1-schnell-gguf</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/FLUX.1-Kontext-dev-GGUF/tree/main">https://huggingface.co/QuantStack/FLUX.1-Kontext-dev-GGUF</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/mikeyandfriends/PixelWave_FLUX.1-dev_03">https://huggingface.co/mikeyandfriends/PixelWave_FLUX.1-dev_03</a></li></ul>VAE<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/ffxvs/vae-flux/blob/main/ae.safetensors">https://huggingface.co/ffxvs/vae-flux/blob/main/ae.safetensors</a></li></ul>CLIP<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/tree/main">https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/tree/main</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/clip_l.safetensors">https://huggingface.co/comfyanonymous/flux_text_encoders/blob/main/clip_l.safetensors</a></li></ul>📖 Download Overview<ul><li>Flux Kontext = Higher quality, Image editing</li><li>Flux Dev = Higher quality</li><li>Flux Schnell = Faster, needs fewer steps to create usable images</li><li>PixelWave = Merged checkpoint for better realism</li></ul>⚙️ Quantization<ul><li><code>-q8</code> → Highest quality, most VRAM used</li><li><code>-q5</code> → Least quality loss, most performance gained</li><li>Below <code>-q5</code> → Less VRAM usage, lower quality</li></ul>CLIP<ul><li><code>fp16</code> → Better textual understanding, more VRAM used</li><li><code>fp8</code> → Less textual understanding, less VRAM used</li><li><code>scaled</code> → less</li></ul>🔗 Helpful Sources:<ul><li><a target="_new" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1ekgzpz/so_fluxdev_20_steps_or_30_steps_does_it_even_make/">FluxDev 20 vs 30 Steps – Does It Even Matter?</a></li><li><a target="_new" rel="ugc" href="https://www.reddit.com/r/FluxAI/comments/1ew3xx6/flux_prompting_the_next_step/">Flux Prompting – The Next Step</a></li><li><a target="_new" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1ga8lje/is_there_a_comprehensive_guide_on_how_to_prompt/">Comprehensive Guide on Prompting?</a></li></ul>If you have any questions, leave a comment and I will try to help :)

Simple Flux Kontext GGUF workflow 4gb VRAM Realistic Cinematic 2Pass + Lora

-Teacache -Lora support-Kontext

simpleFluxKontextGGUF_v21.zip

v2.1

Files with SHA256: f6e33fec4015fc28f6fdc376fe9bb503ffd15ed5a1615fd88d47be84310c32bd