Instructions to use not-pegasus/IMAGE_MODAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use not-pegasus/IMAGE_MODAL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("not-pegasus/IMAGE_MODAL", 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
Ctrl+K
- __pycache__
- _yaml
- anyio-4.12.0.dist-info
- anyio
- certifi-2025.11.12.dist-info
- certifi
- click-8.3.1.dist-info
- click
- filelock-3.20.0.dist-info
- filelock
- fsspec-2025.12.0.dist-info
- fsspec
- git_lfs-1.6.dist-info
- git_lfs
- h11-0.16.0.dist-info
- h11
- hf_xet-1.2.0.dist-info
- hf_xet
- httpcore-1.0.9.dist-info
- httpcore
- httpx-0.28.1.dist-info
- httpx
- huggingface_hub-1.2.1.dist-info
- huggingface_hub
- idna-3.11.dist-info
- idna
- packaging-25.0.dist-info
- packaging
- pip-25.1.1.dist-info
- pip
- pyyaml-6.0.3.dist-info
- shellingham-1.5.4.dist-info
- shellingham
- tqdm-4.67.1.dist-info
- tqdm
- typer
- typer_slim-0.20.0.dist-info
- typing_extensions-4.15.0.dist-info
- yaml
- 160 kB