Instructions to use dataautogpt3/Proteus-RunDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/Proteus-RunDiffusion 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/Proteus-RunDiffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "score_9, Side View of a Roman Warrior pierced By a spear, cinimatic " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- scheduler
- text_encoder
- text_encoder_2
- tokenizer
- tokenizer_2
- unet
- vae
- 2.54 kB
- 2.01 MB xet
- 1.56 MB xet
- 1.76 MB xet
- 1.56 MB xet
- 1.37 MB xet
- 1.9 MB xet
- 1.81 MB xet
- 1.75 MB xet
- 1.39 MB xet
- 126 kB
- 1.81 MB xet
- 6.94 GB xet
- 5.58 kB
- 1.62 MB xet
- 1.37 MB xet
- 1.49 MB xet
- 1.65 MB xet
- 671 Bytes
- 1.47 MB xet
- 1.56 MB xet
- 1.65 MB xet