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
- Xet hash:
- 997f58d82c296e94e590781d3e0a81ed3e249a41c823c3a8d662dc3fc49d85ed
- Size of remote file:
- 10.3 GB
- SHA256:
- 8ce3e83092284665e88c1dc71a1e3d4ee30604079ac632e6c46d9aad5ec75c29
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