Stable Diffusion
Open-source AI image generation model. VRAM is effectively the only hardware spec that determines generation speed — the model must fit in GPU VRAM to run at full speed.
Stable Diffusion is an open-source latent diffusion model for AI image generation. Popular frontends include ComfyUI and Automatic1111. Newer models include SDXL, Pony Diffusion, and FLUX.1.
Category: AI Image Generation | Developer: Stability AI (open-source) | Platform: Windows, macOS, Linux (Free)
- GPU (VRAM): The only spec that matters for generation speed. SD 1.5 needs 4 GB; SDXL needs 8–10 GB; FLUX.1 needs 12–24 GB. NVIDIA CUDA strongly preferred.
- RAM: 16 GB for single models; 32–64 GB for complex ComfyUI workflows.
- CPU: Minimal role. Any modern 6-core CPU is sufficient.
- Storage: 1–2 TB NVMe SSD — model files are 4–24 GB each.
What is a LoRA in Stable Diffusion? +
LoRA (Low-Rank Adaptation) is a small fine-tuned model file that modifies the base model’s output style or subject. LoRAs are typically 50–150 MB compared to full checkpoint models (4–24 GB).
What is the difference between Stable Diffusion and FLUX.1? +
FLUX.1 is a newer generation model from Black Forest Labs. It produces significantly better text rendering, prompt adherence, and image quality compared to SDXL, but requires more VRAM — 12–24 GB depending on quantisation.
We build AI image generation workstations with RTX 4080/4090, 32–64 GB RAM, and 2 TB NVMe — built to run FLUX.1 and SDXL at full speed.
