Instructions to use bghira/terminus-lite-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bghira/terminus-lite-base-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bghira/terminus-lite-base-v1", 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
- Draw Things
- DiffusionBee
Gated model You can list files but not access them
Preview of files found in this repository
- assets
- scheduler
- text_encoder
- text_encoder_2
- tokenizer
- tokenizer_2
- unet
- unet_ema
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