Instructions to use galleri5-ai/providence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use galleri5-ai/providence with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("galleri5-ai/providence", 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 galleri5-ai/providence: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/galleri5-ai/providence/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://galleri5-ai/providence/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/galleri5-ai/providence/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 9082308856aaa30f7c925daebb67133912f58385bf1218e1b12636645864f91b
- Size of remote file:
- 1.36 GB
- SHA256:
- 17bb2d9eebaa4e066c7385c4f86d29dc1f9fc29445796248ea7b199b9af2a64f
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