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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9b28a8e41eed690cfc03931748f1a8cd270f1164cd86a6f36e6752f2b5c73559
- Size of remote file:
- 2.13 GB
- SHA256:
- 5d305d0d4dee345662989e6723006afbd1994d6338c580f9ab346021d968caec
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