Instructions to use dataautogpt3/ProteusV0.4-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusV0.4-Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/ProteusV0.4-Lightning", 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_2/pytorch_model.bin from dataautogpt3/ProteusV0.4-Lightning: direct link, hf CLI and curl.
- Browser
- Download file 2.78 GB
-
https://huggingface.co/dataautogpt3/ProteusV0.4-Lightning/resolve/main/text_encoder_2/pytorch_model.bin
- Command line
-
hf download hf://dataautogpt3/ProteusV0.4-Lightning/text_encoder_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dataautogpt3/ProteusV0.4-Lightning/resolve/main/text_encoder_2/pytorch_model.bin
2.78 GB
- Xet hash:
- 88d020f145be915b9041838c78a030b5e4031972d0039b5e95b720cbcdab6e20
- Size of remote file:
- 2.78 GB
- SHA256:
- 17f8d8a6a0d30a057b1426b216d23201671cc238dcb34a2ae2efdc38935e4783
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