Instructions to use Snapmap/diffcheckstuffiused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Snapmap/diffcheckstuffiused with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Snapmap/diffcheckstuffiused", 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
Download unet/Z-Image/src/utils/__init__.py from Snapmap/diffcheckstuffiused: direct link, hf CLI and curl.
- Browser
- Download file 424 Bytes
-
https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/unet/Z-Image/src/utils/__init__.py
- Command line
-
hf download hf://Snapmap/diffcheckstuffiused/unet/Z-Image/src/utils/__init__.py
-
curl -L -o __init__.py https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/unet/Z-Image/src/utils/__init__.py
424 Bytes
| """Utilities for Z-Image.""" | |
| from .attention import AttentionBackend, dispatch_attention, set_attention_backend | |
| from .helpers import format_bytes, print_memory_stats, ensure_model_weights | |
| from .loader import load_from_local_dir | |
| __all__ = [ | |
| "load_from_local_dir", | |
| "format_bytes", | |
| "print_memory_stats", | |
| "ensure_model_weights", | |
| "AttentionBackend", | |
| "set_attention_backend", | |
| "dispatch_attention", | |
| ] | |