Instructions to use roshikhan301/NEWONE1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use roshikhan301/NEWONE1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("roshikhan301/NEWONE1", 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: 916 Bytes
8a37e0a | 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 | #!/bin/env python
"""Little command-line utility for probing a model on disk."""
import argparse
from pathlib import Path
from typing import get_args
from invokeai.backend.model_hash.model_hash import HASHING_ALGORITHMS
from invokeai.backend.model_manager import InvalidModelConfigException, ModelProbe
algos = ", ".join(set(get_args(HASHING_ALGORITHMS)))
parser = argparse.ArgumentParser(description="Probe model type")
parser.add_argument(
"model_path",
type=Path,
nargs="+",
)
parser.add_argument(
"--hash_algo",
type=str,
default="blake3_single",
help=f"Hashing algorithm to use (default: blake3_single), one of: {algos}",
)
args = parser.parse_args()
for path in args.model_path:
try:
info = ModelProbe.probe(path, hash_algo=args.hash_algo)
print(f"{path}:{info.model_dump_json(indent=4)}")
except InvalidModelConfigException as exc:
print(exc)
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