Instructions to use EarthnDusk/Tis_Trained_Base_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/Tis_Trained_Base_Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EarthnDusk/Tis_Trained_Base_Model", 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
Commit History
-
Update README.md
Verified signature83c239f
-
Update README.md
186db15
-
Upload last-TheIntrojectSociety-ep200-gs09800.ckpt with huggingface_hub (#1)
- Upload last-TheIntrojectSociety-ep200-gs09800.ckpt with huggingface_hub (b2ee77f2691e0f9cc07ff6ebfc0a29d58a01f7ca)5e8654b -
initial commit
875e76b