Instructions to use ValerianFourel/RealisticEmotionStableDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ValerianFourel/RealisticEmotionStableDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ValerianFourel/RealisticEmotionStableDiffusion", 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:
- 1d076cb26577e80732318fd5215b400700e87cba063e3825a61c7cafdeec0147
- Size of remote file:
- 335 MB
- SHA256:
- 86a6170968f284b6c0c111e2611c806a04102e2a48790ebd1d490ca78040d2bb
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