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:
- c009c755fdd67b8a7f9a69d9654b09fa021f967b026420bde241e6362e54dd6f
- Size of remote file:
- 3.44 GB
- SHA256:
- 426858445f06f1527d3f494213b89afc529179c0e47bd8c41da12b5d86afd419
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