Model: Stable Diffusion 1.5 (family: stable-diffusion)
Parameters: 0.86B
Mixture-of-experts: no
Released: 2022-10
Modality: image
License: CreativeML OpenRAIL-M (commercial use: yes)
License note: Use-based restrictions (no illegal or harmful content); no revenue cap.
Architecture: unet
Backbone parameters: 0.86B
Backbone size (GB by quant): fp16: 1.7
Components:
name: CLIP-L text encoder
fp16_gb: 0.25
offloaded: no
VAE size: 0.17 GB
Native resolution: 512×512
Sampling steps: 20-50
Recommended memory: gb: 3.7
quant: fp16
No-offload memory: 4 GB
Offload floor: 2 GB
Device classes: mac
nvidia
amd
iphone
Tools: AUTOMATIC1111
ComfyUI
Draw Things
diffusers
Notes: UNet 0.86B (~0.98B with the CLIP-L text encoder; no T5). The single CLIP-L encoder is ~0.25GB so all components stay resident and peak VRAM is the sum: UNet ~1.7GB + CLIP-L ~0.25GB + VAE ~0.17GB plus activations is ~3.7GB at 512x512, the widely-cited 4GB minimum. Runs on 2GB with AUTOMATIC1111 --lowvram, slowly. Sources: HF model card, AUTOMATIC1111 Optimizations wiki, fp16 checkpoint size.