Instructions to use OFA-Sys/small-stable-diffusion-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OFA-Sys/small-stable-diffusion-v0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OFA-Sys/small-stable-diffusion-v0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Fix outdated steps_offset in scheduler_config
#15 opened 5 months ago
by
Lioneidous93
You got my like
#14 opened over 1 year ago
by
Muthukamalan
Adding `safetensors` variant of this model
#13 opened almost 2 years ago
by
SFconvertbot
Nice model, but can't fine-tune
#12 opened over 2 years ago
by
kopyl
Distillation code
#11 opened almost 3 years ago
by
tungdq
Model at lower resultion like 256x256?
1
#9 opened about 3 years ago
by
saddxzcy
Where is the .ckpt file for this model?
1
#8 opened about 3 years ago
by
Arya-Bastani23
Expected speed on Colab
2
#7 opened about 3 years ago
by
sreag
Is the point of this to generate images at a 256x256 resolution?
1
#4 opened over 3 years ago
by
AM1917
Adding `safetensors` variant of this model
#3 opened over 3 years ago
by
Sporked