Instructions to use TheLastBen/froggy-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheLastBen/froggy-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheLastBen/froggy-style", 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 TheLastBen/froggy-style: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/TheLastBen/froggy-style/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://TheLastBen/froggy-style/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TheLastBen/froggy-style/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- ce62ff7ad1267cbcd58457f71046dd58d8c0aa83858e08a719461b616d030dde
- Size of remote file:
- 246 MB
- SHA256:
- 95f7b7d5fda263b426ff869db081543c8ec4c4149627df5eb10365f289adb189
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