Instructions to use silveroxides/veloxide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use silveroxides/veloxide with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("silveroxides/veloxide", 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 silveroxides/veloxide: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/silveroxides/veloxide/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://silveroxides/veloxide@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/silveroxides/veloxide/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- c08c7cc1a42d09bdf9c066561add5ca3e0db0e494769ad7759d1f5f1daed7c52
- Size of remote file:
- 492 MB
- SHA256:
- 6db65488196b35da6d579359e79d4267819050839c7e48d9e0a33250477f6646
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