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:
- aa97ca06f3c7bf72fa22de0b498b8674459ec3a0ce86f796c6f54c15d97a2875
- Size of remote file:
- 6.78 GB
- SHA256:
- 78cdee714f4e44c29aac46bba02ee0a2e956c55dd846c88d3da8bc4dae1cafb9
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