stable-diffusion-xl-base-1.0
SDXL consists of an ensemble of experts pipeline for latent diffusion: In a first step, the base model is used to generate (noisy) latents, which are then further processed with a refinement model (available here: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/) specialized for the final denoising steps. Note that the base model can be used as a standalone module.
Params
2.6 B
Context
—
Downloads 30d
3.0 M
Likes
8,195
Download history
daily snapshots · 55 days
▲ 1.4 M in the last 30 days (90.8%)
3.0 M1.5 M
Aug 22Sep 1Sep 11Sep 20
3.0 M1.4 M
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 35.2 GB | 39.7 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 2.6 B
- Tensor type
- F32
- Licence
- openrail++
- First seen on the Hub
- 2023-07-25
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-to-image model