Instructions to use rmmcx/dominusrome with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rmmcx/dominusrome with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rmmcx/dominusrome", 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 rmmcx/dominusrome: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/rmmcx/dominusrome/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://rmmcx/dominusrome/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rmmcx/dominusrome/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- d0f5c0807642daf63aa90a9a47238fdd45b5f0e07dabe98e884b5795997c0d56
- Size of remote file:
- 492 MB
- SHA256:
- 257707db461f536b92619ccc4e9d571b4174c99d9ea551be5991e5d272415096
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