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/pyproject.toml from Snapmap/diffcheckstuffiused: direct link, hf CLI and curl.
- Browser
- Download file 532 Bytes
-
https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/unet/Z-Image/pyproject.toml
- Command line
-
hf download hf://Snapmap/diffcheckstuffiused/unet/Z-Image/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/unet/Z-Image/pyproject.toml
532 Bytes
| [build-system] | |
| requires = ["setuptools>=61.0"] | |
| build-backend = "setuptools.build_meta" | |
| [project] | |
| name = "zimage-native" | |
| version = "0.1.0" | |
| description = "Z-Image PyTorch Native Implementation" | |
| readme = "README.md" | |
| requires-python = ">=3.10" | |
| dependencies = [ | |
| "torch>=2.5.0", | |
| "transformers>=4.51.0", | |
| "safetensors", | |
| "loguru", | |
| "pillow", | |
| "accelerate", | |
| "huggingface_hub>=0.25.0" | |
| ] | |
| [project.optional-dependencies] | |
| dev = [ | |
| "black", | |
| "isort", | |
| "ruff" | |
| ] | |
| [tool.setuptools.packages.find] | |
| where = ["src"] | |