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Stable Diffusion Models: SDXL vs SD3 vs Flux Comparison
CLOUD|April 12, 2026|2 min read|1,941 views
Each model differs in quality, speed, and requirements. We compare with images and numbers — and which fits your server.
Stable Diffusion Models Comparison
Image generation models have evolved significantly in 2025-2026. This guide compares the main models to help you choose the right one.
Main Models
SDXL (Stable Diffusion XL)
1024x1024 base resolution, higher quality faces and details.
from diffusers import StableDiffusionXLPipeline
import torch
pipe = StableDiffusionXLPipeline.from_pretrained(
"stabilityai/stable-diffusion-xl-base-1.0",
torch_dtype=torch.float16
).to("cuda")
image = pipe(
prompt="professional portrait photo, corporate setting",
negative_prompt="cartoon, anime, low quality",
width=1024, height=1024,
num_inference_steps=30
).images[0]
Requires: 8+ GB VRAM
Flux.1 (Black Forest Labs)
Strongest through 2026 in image quality.
| Version | VRAM | Quality |
|---|---|---|
| Flux.1 [dev] | 16 GB | Exceptional |
| Flux.1 [schnell] | 12 GB | Excellent |
Practical Performance Comparison
Model | VRAM | Time | Quality
────────────────────────────────────────────────
SD 1.5 | 4 GB | 8 sec | Average
SDXL Base | 8 GB | 25 sec | Good
Flux.1 schnell | 12 GB | 15 sec | Excellent
Flux.1 dev | 16 GB | 40 sec | Exceptional
Runtime Interfaces
# Automatic1111
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
./webui.sh --listen --port 7860
# ComfyUI
git clone https://github.com/comfyanonymous/ComfyUI
pip install -r requirements.txt
python main.py --listen --port 8188
The Stable Diffusion template is available in AI Hosting on كلاود (cloud.net.sa) — one-click installation.
Recommendation
- Beginners: SDXL via Automatic1111
- High quality: Flux.1 dev
- Speed: SDXL Turbo
- Commercial production: Flux.1 schnell
Get Started
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