Instructions to use martineux/animeCollection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use martineux/animeCollection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("martineux/animeCollection", 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:
- 3dc6e7149a2ab05c6ea0d376fe38024150991f42af9dd403fda6a68110098cad
- Size of remote file:
- 167 MB
- SHA256:
- b3a953ca33052f85ba9ad6d29e9371adbc461277d030ad3118fd23ae97e07849
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