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
Download text_encoder/pytorch_model.bin from celebigil/realism-engine: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/celebigil/realism-engine/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://celebigil/realism-engine/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/celebigil/realism-engine/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 3b4bf0163bd9610e9ad8be38547aec5c8a016fdc654e048a23cbead27c438421
- Size of remote file:
- 492 MB
- SHA256:
- 1a3baa2b7ef6ac62dbff05c40b279081767e86101e099b8d8f188c203a78fe3c
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