Models
Best free Midjourney alternatives you can run yourself (2026)
Midjourney is a rental: you pay monthly, you prompt inside their Discord or web app, and the weights never leave their building. Every model on this list is the opposite. FLUX.2, Z-Image Turbo, Qwen Image, FLUX.2 Klein, Illustrious XL and Chroma are open weights you can download today, run on your own GPU or on a flat-fee server, fine-tune with a LoRA and keep forever. Here is which one to pick for which job, what each needs in VRAM, and the cheapest way to try them when you own no GPU at all.
Prompting
Illustrious, NoobAI and Pony prompting: tags, quality strings, artist tags and LoRAs
The tag-based prompting that anime SDXL models expect: Danbooru tag order, quality and year tags for Illustrious and NoobAI, score tags and source tags for Pony, artist tags and how strongly to weight them, negatives that work, and which LoRAs fit which base.
Prompting
FLUX.2 prompting guide: natural-language prompts, multi-reference, editing and LoRAs
Prompting FLUX.2 dev for the results it is known for: paragraph prompts with subject, scene, light and lens, exact text in quotes, up to several reference images for products, people and styles, instruction-style edits, the guidance and step settings that matter, and how FLUX.2 LoRAs differ from Flux dev LoRAs.
Prompting
Qwen-Image-Edit guide: instruction prompts, multi-image editing and the LoRAs that make it better
How to get clean edits from Qwen-Image-Edit: writing instructions instead of descriptions, keeping identity and layout, multi-image inputs, text replacement, pose and depth control, the lightning LoRAs for 4-step edits and the anything-to-real and slider LoRAs trending in the Qwen2 family.
Video models
Wan 2.2 video: text-to-video and image-to-video setup, settings and LoRAs
Getting first results from Wan 2.2: which model size to pick (5B or 14B), the high-noise / low-noise expert pair, resolution and frame counts that work, the lightning LoRAs that cut renders to four steps, prompt structure for motion, and how to run it hosted when the card is too small.
Models
Flux vs SDXL vs SD 1.5 vs Qwen vs Z-Image: which model family to use in 2026
A practical comparison of the open image model families: prompt following, realism, anime and illustration, text rendering, speed, VRAM, LoRA ecosystem and licence, with a recommendation for each kind of work and hardware.
Models
What is a LoRA and how to use one in ComfyUI, Forge, Automatic1111 and on the cloud
LoRAs explained for people who want results, not maths: what a LoRA file changes, why it must match the base model's family, trigger words, weights, stacking several LoRAs, the folder and syntax for each UI, and how to try a LoRA on the cloud before downloading anything.
Errors & fixes
CUDA out of memory: how much VRAM each AI model needs and how to fit it
A VRAM table for SD 1.5, SDXL, Flux, FLUX.2, Qwen-Image, Z-Image, Wan 2.2 and HunyuanVideo, and the techniques that make a model fit: fp8 and GGUF quantisation, CPU offload, tiled VAE, resolution and frame limits, and when to stop fighting and run it hosted.
Errors & fixes
Stable Diffusion WebUI Forge errors and fixes (Flux, SDXL, low VRAM)
Forge-specific problems and their fixes: Flux not loading or producing noise, the UI type switch (sd / xl / flux), "GPU Weights" slider and out-of-memory errors, missing text encoders and VAE for Flux, ControlNet and extension breakage, and the differences from Automatic1111 that trip people up.
Errors & fixes
Automatic1111 (Stable Diffusion WebUI) errors and fixes
Fixes for the Stable Diffusion WebUI errors that stop most installs: "Torch is not able to use GPU", NansException, CUDA out of memory, "Couldn't install torch", xformers, "Stable diffusion model failed to load", broken extensions after an update, and the SDXL-specific problems.
Errors & fixes
ComfyUI errors and how to fix them: red nodes, missing models, CUDA out of memory
The ComfyUI error messages people hit first, what each one means and the fix that works: missing custom nodes (red boxes), "Prompt outputs failed validation", CUDA out of memory, wrong model type in a loader, mat1 and mat2 shape errors, header deserialization, torch and xformers mismatches.
Video models
AI video generation for beginners: image-to-video, text-to-video and the first clip with Wan, LTX-2 and H3
A first week with open video models: the difference between text-to-video and image-to-video and why to start with the latter, the three model families worth learning (Wan 2.2, LTX-2, MiniMax H3), frame counts and resolutions that work, how to write a motion prompt, what to expect from a 16 or 24 GB card against the cloud, and how to turn five-second clips into something longer.
Prompting
AI image and video generation glossary: 60 terms from checkpoint to VAE, explained in one line each
The words you meet on model pages, in ComfyUI and in forum threads, each explained in a sentence with a pointer to the guide that goes deeper: architectures (U-Net, DiT, MoE), files (checkpoint, LoRA, embedding, VAE, GGUF), settings (CFG, denoise, scheduler, shift), techniques (inpainting, hires-fix, ControlNet, IP-Adapter) and video terms (frames, high/low noise experts, I2V, T2V).
Errors & fixes
Safetensors vs .ckpt and .pt: how to download AI models safely and verify them with SHA-256
Why .ckpt and .pt files can run code when loaded and .safetensors cannot, how to recognise a converted or renamed file, how to check a download against the SHA-256 and AutoV2 hashes shown on the model pages, where to download from, what to do with a hash mismatch, and how the cloud partners sidestep the whole problem.
Models
Upscaling AI images: ESRGAN models, hires-fix, tiled diffusion and when each one is right
The three families of upscaling and what they are for: fast pixel upscalers (4x-UltraSharp, Real-ESRGAN, SwinIR, DAT) for clean enlargement, hires-fix for adding detail at generation time, and tiled diffusion (Ultimate SD Upscale, SUPIR, Flux-based) for turning a 1024 render into a detailed 4K print; with denoise values, tile sizes and the models worth downloading.
Prompting
ControlNet explained: pose, depth, edges and reference images for SD 1.5, SDXL and Flux
How ControlNet makes a model follow a pose, a depth map, an edge drawing or a scribble instead of guessing the composition from the prompt: the common control types and when to use each, the preprocessor step, strength and end-percent settings, the family-specific files, and the Flux-era alternatives (Flux Depth, Canny, Kontext).
Models
The 10 cheapest ChatGPT alternatives in 2026: free local models, free tiers and flat-rate plans
Ten ways to get a capable AI assistant for less than a ChatGPT subscription, ranked by what you actually pay: open models on your own PC with Ollama or LM Studio, the free tiers of DeepSeek, Mistral, Google AI Studio and Qwen, Hugging Face Chat, OpenRouter's free routes, a Telegram bot with open LLMs included in a flat image-and-video plan, and what each is good and bad at.
Apps
Running Stable Diffusion, SDXL and Flux on a Mac (Apple Silicon): Draw Things, ComfyUI and what to expect
What an M1 to M4 Mac can and cannot do for AI images and video: the three ways to run models (Draw Things, ComfyUI through PyTorch MPS, DiffusionBee), memory tiers by Mac configuration, realistic speeds for SD 1.5, SDXL and Flux, the settings that avoid black images and crashes, and the models that are worth the wait on a Mac.
Errors & fixes
GPU and VRAM guide for AI image and video: what each model needs and what to buy (or not)
How much graphics memory each model family really needs at usable speed (SD 1.5, SDXL, Flux, FLUX.2, Qwen Image, Z-Image, Wan 2.2, LTX-2, H3), what fp8 and GGUF quantisation buy you, why system RAM and disk matter too, a tier list of cards from 8 to 32 GB, Mac and AMD notes, and the point at which renting is cheaper than buying.
ComfyUI
What is ComfyUI? A beginner's guide to nodes, workflows and the first graph
ComfyUI explained for people coming from Automatic1111, Fooocus or a web app: why it is a graph, the seven nodes in the default workflow and what each does, how to load a workflow from an image, where models go, the Manager for missing nodes, and when a simpler tool or the cloud is the better choice.
Prompting
img2img, inpainting and outpainting basics: fixing hands, swapping objects and extending a picture
The three ways to generate from an existing picture instead of from noise: img2img for restyling with a denoise value, inpainting for repainting only a masked area (the standard fix for hands and faces), and outpainting for extending the canvas; with the denoise, padding and model choices for SD 1.5, SDXL, Flux Fill and Qwen Image Edit.
Prompting
Steps, CFG, samplers, schedulers and seeds: the generation settings explained with safe defaults
What each setting in the generation panel changes, the values that work per model family (SD 1.5, SDXL, Flux, Qwen, Z-Image, Wan), which samplers are worth knowing, why distilled models break the usual rules, and how to use seeds to change one thing at a time.