Instructions to use EnD-Diffusers/Animated_Dreams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Animated_Dreams 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/Animated_Dreams", 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:
- 17cd55f176f94f954c6c43380d1c490b0803557d687bbc15034f96a65d5382a4
- Size of remote file:
- 492 MB
- SHA256:
- fd4ef423eb4353c0cde8f60daa3d960763a4e621d935305a6faa45131f5e5413
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