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/__init__.py from Snapmap/diffcheckstuffiused: direct link, hf CLI and curl.
- Browser
- Download file 2.52 kB
-
https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/unet/Z-Image/src/config/__init__.py
- Command line
-
hf download hf://Snapmap/diffcheckstuffiused/unet/Z-Image/src/config/__init__.py
-
curl -L -o __init__.py https://huggingface.co/Snapmap/diffcheckstuffiused/resolve/main/unet/Z-Image/src/config/__init__.py
2.52 kB
| """Z-Image Configuration.""" | |
| from .inference import ( | |
| DEFAULT_CFG_TRUNCATION, | |
| DEFAULT_GUIDANCE_SCALE, | |
| DEFAULT_HEIGHT, | |
| DEFAULT_INFERENCE_STEPS, | |
| DEFAULT_MAX_SEQUENCE_LENGTH, | |
| DEFAULT_WIDTH, | |
| ) | |
| from .model import ( | |
| ADALN_EMBED_DIM, | |
| BASE_IMAGE_SEQ_LEN, | |
| BASE_SHIFT, | |
| BYTES_PER_GB, | |
| DEFAULT_LOAD_DEVICE, | |
| DEFAULT_LOAD_DTYPE_STR, | |
| DEFAULT_SCHEDULER_NUM_TRAIN_TIMESTEPS, | |
| DEFAULT_SCHEDULER_SHIFT, | |
| DEFAULT_SCHEDULER_USE_DYNAMIC_SHIFTING, | |
| DEFAULT_TRANSFORMER_CAP_FEAT_DIM, | |
| DEFAULT_TRANSFORMER_DIM, | |
| DEFAULT_TRANSFORMER_F_PATCH_SIZE, | |
| DEFAULT_TRANSFORMER_IN_CHANNELS, | |
| DEFAULT_TRANSFORMER_N_HEADS, | |
| DEFAULT_TRANSFORMER_N_KV_HEADS, | |
| DEFAULT_TRANSFORMER_N_LAYERS, | |
| DEFAULT_TRANSFORMER_N_REFINER_LAYERS, | |
| DEFAULT_TRANSFORMER_NORM_EPS, | |
| DEFAULT_TRANSFORMER_PATCH_SIZE, | |
| DEFAULT_TRANSFORMER_QK_NORM, | |
| DEFAULT_TRANSFORMER_T_SCALE, | |
| DEFAULT_VAE_IN_CHANNELS, | |
| DEFAULT_VAE_LATENT_CHANNELS, | |
| DEFAULT_VAE_NORM_NUM_GROUPS, | |
| DEFAULT_VAE_OUT_CHANNELS, | |
| DEFAULT_VAE_SCALE_FACTOR, | |
| DEFAULT_VAE_SCALING_FACTOR, | |
| FREQUENCY_EMBEDDING_SIZE, | |
| MAX_IMAGE_SEQ_LEN, | |
| MAX_PERIOD, | |
| MAX_SHIFT, | |
| ROPE_AXES_DIMS, | |
| ROPE_AXES_LENS, | |
| ROPE_THETA, | |
| SEQ_MULTI_OF, | |
| ) | |
| __all__ = [ | |
| "ADALN_EMBED_DIM", | |
| "SEQ_MULTI_OF", | |
| "ROPE_THETA", | |
| "ROPE_AXES_DIMS", | |
| "ROPE_AXES_LENS", | |
| "FREQUENCY_EMBEDDING_SIZE", | |
| "MAX_PERIOD", | |
| "BASE_IMAGE_SEQ_LEN", | |
| "MAX_IMAGE_SEQ_LEN", | |
| "BASE_SHIFT", | |
| "MAX_SHIFT", | |
| "DEFAULT_VAE_SCALE_FACTOR", | |
| "DEFAULT_VAE_IN_CHANNELS", | |
| "DEFAULT_VAE_OUT_CHANNELS", | |
| "DEFAULT_VAE_LATENT_CHANNELS", | |
| "DEFAULT_VAE_NORM_NUM_GROUPS", | |
| "DEFAULT_VAE_SCALING_FACTOR", | |
| "DEFAULT_TRANSFORMER_PATCH_SIZE", | |
| "DEFAULT_TRANSFORMER_F_PATCH_SIZE", | |
| "DEFAULT_TRANSFORMER_IN_CHANNELS", | |
| "DEFAULT_TRANSFORMER_DIM", | |
| "DEFAULT_TRANSFORMER_N_LAYERS", | |
| "DEFAULT_TRANSFORMER_N_REFINER_LAYERS", | |
| "DEFAULT_TRANSFORMER_N_HEADS", | |
| "DEFAULT_TRANSFORMER_N_KV_HEADS", | |
| "DEFAULT_TRANSFORMER_NORM_EPS", | |
| "DEFAULT_TRANSFORMER_QK_NORM", | |
| "DEFAULT_TRANSFORMER_CAP_FEAT_DIM", | |
| "DEFAULT_TRANSFORMER_T_SCALE", | |
| "DEFAULT_SCHEDULER_NUM_TRAIN_TIMESTEPS", | |
| "DEFAULT_SCHEDULER_SHIFT", | |
| "DEFAULT_SCHEDULER_USE_DYNAMIC_SHIFTING", | |
| "DEFAULT_LOAD_DEVICE", | |
| "DEFAULT_LOAD_DTYPE_STR", | |
| "BYTES_PER_GB", | |
| "DEFAULT_HEIGHT", | |
| "DEFAULT_WIDTH", | |
| "DEFAULT_INFERENCE_STEPS", | |
| "DEFAULT_GUIDANCE_SCALE", | |
| "DEFAULT_CFG_TRUNCATION", | |
| "DEFAULT_MAX_SEQUENCE_LENGTH", | |
| ] | |