LOADING DATASHEET
LOADING DATASHEET
by Stability AI
RANKED #73 OF 78 IMAGES · OVERALL #352 OF 6,523 · VIBE SCORE 4.8 · 239 VOICES
stable-diffusion-1.5-fp16 on Hugging Face (text to image). 3,352 downloads. Open weights for local or hosted use.
27 mentions
17 mentions
26 weeks · 29 voices
TOO QUIET
Not enough weekly voices to call a trend yet.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Stable Diffusion 1.5 once and it's yours. No subscription, no rate limits, works offline.
1B parameters, an FP16 checkpoint is about 4 GB (7.7 GB in FP32)
NVIDIA GeForce GTX 1660 Super
6 GB VRAM
~$110 USEDFP16 precision at 512x512 with medvram optimization, ~6 s/image
NVIDIA GeForce RTX 3060
12 GB VRAM
~$260 USEDFull FP16/FP32 precision, batch generation, ControlNet and LoRA support, ~1.8 s/image
NVIDIA GeForce RTX 4070 Super
12 GB VRAM
~$590 NEWFull precision, large batch generation and high-resolution upscaling, ~0.6 s/image
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Stable Diffusion 1.5 takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce GTX 1660 Super | SWEET SPOTNVIDIA GeForce RTX 3060 | FULL POWERNVIDIA GeForce RTX 4070 Super |
|---|---|---|---|
| Make an imageone picture at normal settings | ~6 S★★★★★ | ~2 S★★★★★ | UNDER A SECOND★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
People are mostly happy with Stable Diffusion 1.5. Biggest praise: how results look.
193 POSTS · 46 COMMENTS · LEMMY · REDDIT · X · GITHUB
5 thumbs up · 0 thumbs down
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Stable Diffusion 1.5.
Thank you Chinese devs for providing for the community if it not for them we'll be still stuck at stable diffusion 1.5
To all the real ones still sharing their prompts and workflows — I raise my glass 🍾🍷
Controlnet Face Model for SD 1.5
Stable Diffusion 1.5 model disappeared from official HuggingFace and GitHub repo
ControlNet SDXL for Automatic1111-WebUI official release: sd-webui-controlnet 1.1.400
WaTale: A free, fully local visual novel engine (Powered by SD 1.5, LayerDiffuse, and ControlNet)
Introducing 4lph4bet-next_v040: A Stable Diffusion LoRA for Font Generation
UNet Extractor and Remover for Stable Diffusion 1.5 , SDXL and FLUX
KoboldCpp - Fully local stable diffusion backend and web frontend in a single 300mb executable.
I don't know if open source generative AI will still exist in 1 or 2 years. But I'm proud of my generations. Training a lora, adjusting the parameters, selecting a model, cfg, sampler, prompt, controlnet, workflows - I like to think of it as an art
I compared DALL-E 3 community requests to my favourite Stable Diffusion Checkpoint, DreamShaper V7. There is an obvious conclusion.
AI Yearbook Photos Workflow with Stable Diffusion 1.5 Automatic1111