Image-Gen Guides
11 InsiderLLM guides in Image-Gen — practical, tested walkthroughs for running AI locally, sorted by most recently updated.
- LoRA Training on Consumer Hardware: Fine-Tune Models With 12GB VRAM QLoRA fine-tunes a 7B model on an RTX 3060 12GB in 2-4 hours. Full Unsloth and Axolotl recipes, VRAM tables, and the GGUF export pipeline.
- Best Local FLUX Setup: FLUX.2, FLUX.1, RTX 3090 (2026) FLUX.1 vs FLUX.2: 12GB VRAM minimum with GGUF, 24GB at full quality. ComfyUI / Forge / Python setup, May 2026 hardware, NVFP4 on Blackwell.
- Stable Diffusion on Mac: Image Generation with MLX and Draw Things Draw Things generates SD 1.5 images in 8-15 seconds on an M2 Pro. ComfyUI takes 3x longer. MLX is fastest but code-only. Complete Mac image gen guide with speed tests.
- Stable Diffusion Locally: Getting Started SD 1.5 runs on 4GB VRAM, SDXL needs 8GB, Flux needs 12GB+. Generate unlimited images for free in under 5 minutes with Fooocus or ComfyUI. Setup, models, and first image tips.
- ComfyUI Won — But A1111 Users Should Switch to Forge Neo Instead ComfyUI is faster, uses less VRAM, and gets new model support first. But the 2-3 week learning curve is real. If you're on A1111, Forge Neo gives you Flux support without starting over. Fooocus is dead. Speed tests and VRAM comparisons inside.
- Best Local AI Video: Wan vs LTX-2.3 & More (2026) Wan leads on quality, LTX-2.3 renders in seconds with native audio, and quantization drops the floor to 6-8GB VRAM. Benchmarks and setup for consumer GPUs.
- Local AI Upscaling: Make Blurry Images Sharp Without the Cloud Upscayl, Real-ESRGAN, chaiNNer, and ComfyUI can upscale your photos for free on your own hardware. No subscriptions, no uploads, no per-image fees. Even a GTX 1060 works. Here's how to pick the right tool and start.
- Best Photorealism Checkpoints for Local Image Generation (2026) Juggernaut XL, RealVisXL, Realistic Vision, and Flux compared for photorealistic AI images. VRAM requirements, recommended settings, sample prompts, and installation for ComfyUI and A1111.
- SDXL vs SD 1.5 vs Flux: Which Image Model Should You Run Locally? SDXL vs SD 1.5 vs Flux compared by VRAM, speed, and quality. SD 1.5 needs 4GB, SDXL needs 8GB, Flux needs 12GB+. Benchmarks on real GPUs inside.
- ControlNet Guide: Precise AI Image Control on Your GPU ControlNet guide for Stable Diffusion and Flux. Covers Canny, OpenPose, Depth preprocessors, VRAM needs, ComfyUI and A1111 setup, and practical workflows.
- AI Art Styles & Workflows: SD and Flux Guide Photorealism, anime, oil painting, concept art, and pixel art on 8GB+ VRAM. Model picks, LoRA stacking at 0.5-0.8 weight, and ComfyUI workflows for each style.