Instructions to use Willvalley/bentley2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Willvalley/bentley2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Willvalley/bentley2023", 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 Willvalley/bentley2023: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Willvalley/bentley2023/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Willvalley/bentley2023/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Willvalley/bentley2023/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 953cbedee436d9ca71c48e003b75689da48f2cf97995af756ce7c8c29c47e5ce
- Size of remote file:
- 492 MB
- SHA256:
- ea83d096903d0c00cd9ed33793e861094579b95a280f9d678b6da456d9672b72
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