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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8850770ce09c3c627b53e76fd4ef0a385b24b63798e4ea14380c3acfd290b427
- Size of remote file:
- 15.4 MB
- SHA256:
- 8105dc6e2c5555cee52abaa62665561a015e7303ca47c71e6d7221cec9419cae
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