Modelos de IA Stable Diffusion 1.5
Stable Diffusion 1.5 is the 2022 model that started the open-source image movement. It is a 512 pixel latent diffusion model that runs on almost any GPU, trains LoRAs in minutes and still has the largest library of textual-inversion embeddings. Realistic Vision, DreamShaper, Deliberate, ReV Animated and Anything are among the checkpoints that defined a generation of AI art. Newer families surpass it in prompt following and resolution, but SD 1.5 remains the fastest way to learn, the best fit for weak hardware and the only home of many classic styles.
Modelos Stable Diffusion 1.5 mais populares
Guias de Stable Diffusion 1.5
Modelos
Stable Diffusion 1.5: the classic model, prompted properly
Stable Diffusion 1.5 is still worth knowing: the right resolution, CFG and sampler, how to use its huge library of LoRAs and embeddings, and creative prompt ideas suited to a 512-pixel model.
Por Captain
2026-10-02
Modelos
Waifu Diffusion: Danbooru-tag prompting for a classic anime model
Waifu Diffusion is the anime base model that taught a generation how to prompt with Danbooru tags. This guide covers tag order, quality tags, negatives, the right resolution and ideas for clean anime illustrations.
Por Captain
2026-10-01
Erros e soluções
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.
Por Captain
2026-05-12
Modelos
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.
Por Captain
2026-05-20
Erros e soluções
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.
Por Captain
2026-05-18
Modelos
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.
Por Captain
2026-05-22
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