Instructions to use pcuenq/stable-diffusion-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pcuenq/stable-diffusion-v1-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pcuenq/stable-diffusion-v1-4", 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
Add `scale_factor` to vae config.
#2
by valhalla - opened
Hey pcuenq π,
Your model repository seems to contain a stable diffusion checkpoint. We have just merged a PR in diffusers which makes scaling_factor (the magic 0.18215 number a config attribute of vae).
We strongly recommend that you merge this PR to make sure your model keeps working correctly with diffusers.
Diffusingly,
Suraj.