Instructions to use ddPn08/SwimInLatent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ddPn08/SwimInLatent with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ddPn08/SwimInLatent", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, best quality, 1girl, solo, bikini, upper body, short hair, arms behind back, looking at viewer, ocean, wave, water" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 00eb13f17b87d878d69ae55435b611cb4595715074dfa46c2956975d72eb6850
- Size of remote file:
- 2.78 GB
- SHA256:
- 10c82676606fadfccdc61b66d7f8279a9a93df28aedbd7932e33ada5211cf17c
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