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:
- 4d5b2875df1add253ec7395998fc81e91ff2236320ac80d225ed31a97a44560b
- Size of remote file:
- 2.13 GB
- SHA256:
- 9c5e0a1aeb3122762d69faa140c741bff87beeb5eda3e509326e2a0d4fe6b907
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