Instructions to use dataautogpt3/ProteusV0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusV0.2 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/ProteusV0.2", dtype=torch.bfloat16, device_map="cuda") prompt = "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download ComfyUI_03045.png from dataautogpt3/ProteusV0.2: direct link, hf CLI and curl.
- Browser
- Download file 1.66 MB
-
https://huggingface.co/dataautogpt3/ProteusV0.2/resolve/main/ComfyUI_03045.png
- Command line
-
hf download hf://dataautogpt3/ProteusV0.2/ComfyUI_03045.png
-
curl -L -o ComfyUI_03045.png https://huggingface.co/dataautogpt3/ProteusV0.2/resolve/main/ComfyUI_03045.png
1.66 MB

- Xet hash:
- 5f8d6312b0681153e27d65fdd7d4bd30d4bae91f4321c85900cb81f0e4484d6b
- Size of remote file:
- 1.66 MB
- SHA256:
- 4aee56f73773198cee66f37887a9d9caa6112415beb118555b1d0808f1530fc3
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