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/config/inference.py from Snapmap/diffcheckstuffiused: direct link, hf CLI and curl.
- Browser
- Download file 216 Bytes
-
https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/unet/Z-Image/src/config/inference.py
- Command line
-
hf download hf://Snapmap/diffcheckstuffiused/unet/Z-Image/src/config/inference.py
-
curl -L -o inference.py https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/unet/Z-Image/src/config/inference.py
216 Bytes
| """Inference-specific configuration for Z-Image.""" | |
| DEFAULT_HEIGHT = 1024 | |
| DEFAULT_WIDTH = 1024 | |
| DEFAULT_INFERENCE_STEPS = 8 | |
| DEFAULT_GUIDANCE_SCALE = 0.0 | |
| DEFAULT_CFG_TRUNCATION = 1.0 | |
| DEFAULT_MAX_SEQUENCE_LENGTH = 512 | |