stable-diffusion-v1-4
Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion with 🧨Diffusers blog.
Params
860 M
Context
—
Downloads 30d
658 K
Likes
7,090
Download history
daily snapshots · 55 days
▲ 218 K in the last 30 days (49.7%)
658 K439 K
Aug 22Sep 1Sep 11Sep 20
658 K406 K
Jul 28Aug 15Sep 2Sep 20
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 | 11.7 GB | 13.5 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 860 M
- Tensor type
- F32
- Licence
- creativeml-openrail-m
- First seen on the Hub
- 2022-08-20
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any text-to-image model