Instructions to use Pie31415/dm_anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pie31415/dm_anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pie31415/dm_anime", 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
- Xet hash:
- 32b24b25aeb33dd7c784c04af1a8efd6aebeababba119adfcdbd8e363c6db8f1
- Size of remote file:
- 455 MB
- SHA256:
- 1531f3812ba5bf915bbd5b0859fc165473ffbe8b2c3f47ed133a2efdca5bd5d1
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