Instructions to use jetpackjules/supegen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jetpackjules/supegen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jetpackjules/supegen", 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 jetpackjules/supegen: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/jetpackjules/supegen/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://jetpackjules/supegen@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jetpackjules/supegen/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 5907e8358f7a30266f830201800c6dd9dbc3189952bc6e8228a9b1e58470824c
- Size of remote file:
- 492 MB
- SHA256:
- 6cd41f230d21b3c45c98ca393dc34efb0c0b9b33bceb22e39cef6d84cc718f7a
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