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: 216 Bytes
201ff98 | 1 2 3 4 5 6 7 8 9 | """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
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