Text-to-Image
Diffusers
Safetensors
prism-dit
diffusion
dit
flow-matching
rectified-flow
artistic
custom-architecture
Instructions to use WZRD-AI/PRISM-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WZRD-AI/PRISM-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WZRD-AI/PRISM-1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 1,366 Bytes
7c325a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | """
Utility to safely inspect .safetensors checkpoints without opening binary files in text editors.
"""
import sys
import os
from safetensors import safe_open
def inspect_safetensors(filepath: str):
if not os.path.exists(filepath):
print(f"Error: File not found: {filepath}")
return
file_size_mb = os.path.getsize(filepath) / (1024 * 1024)
print(f"==================================================")
print(f" File: {os.path.basename(filepath)}")
print(f" Path: {filepath}")
print(f" Size: {file_size_mb:.2f} MB")
print(f"==================================================")
with safe_open(filepath, framework="pt") as f:
meta = f.metadata() or {}
print("\n--- Header Metadata ---")
if meta:
for k, v in meta.items():
print(f" {k}: {v}")
else:
print(" (No custom metadata embedded)")
keys = list(f.keys())
print(f"\n--- Tensors ({len(keys)} total) ---")
for k in keys[:8]:
t = f.get_tensor(k)
print(f" {k:45s} | shape: {str(list(t.shape)):20s} | dtype: {t.dtype}")
if len(keys) > 8:
print(f" ... and {len(keys) - 8} more tensors.")
if __name__ == "__main__":
target = sys.argv[1] if len(sys.argv) > 1 else "PRISM-1.safetensors"
inspect_safetensors(target)
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