Instructions to use pcuenq/7nation-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pcuenq/7nation-random 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/7nation-random", 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.
#1
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.
pcuenq changed pull request status to merged