Instructions to use celebigil/realism-engine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use celebigil/realism-engine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("celebigil/realism-engine", 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:
- 597d6f114c1f6f4264cb2212b6fca91a790f16da0c44e3660e64b9eca551144f
- Size of remote file:
- 335 MB
- SHA256:
- 6602832fa8843f931e6b83a6b73568da784a6d1a8991c5c7973785c0fee81b58
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