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
File size: 424 Bytes
201ff98 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | """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",
]
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