Instructions to use EnD-Diffusers/Dec2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Dec2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Dec2023", 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
- Xet hash:
- b13a1ec4fb04d41d88220169f91906e713c8a8180c9f11a4590415bbca64f6bc
- Size of remote file:
- 6.94 GB
- SHA256:
- f9320efad1719574575e296c222dd3ba0dc09e077c620464b5f15e1d3e8a52ba
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