Instructions to use Cccccz/HY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cccccz/HY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cccccz/HY", 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: 1,150 Bytes
74da989 | 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 | # SPDX-License-Identifier: Apache-2.0
# adapted from vllm: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/entrypoints/cli/main.py
from trainer.entrypoints.cli.cli_types import CLISubcommand
from trainer.entrypoints.cli.generate import cmd_init as generate_cmd_init
from trainer.utils import FlexibleArgumentParser
def cmd_init() -> list[CLISubcommand]:
"""Initialize all commands from separate modules"""
commands = []
commands.extend(generate_cmd_init())
return commands
def main() -> None:
parser = FlexibleArgumentParser(description="Trainer CLI")
parser.add_argument('-v', '--version', action='version', version='0.1.0')
subparsers = parser.add_subparsers(required=False, dest="subparser")
cmds = {}
for cmd in cmd_init():
cmd.subparser_init(subparsers).set_defaults(dispatch_function=cmd.cmd)
cmds[cmd.name] = cmd
args = parser.parse_args()
if args.subparser in cmds:
cmds[args.subparser].validate(args)
if hasattr(args, "dispatch_function"):
args.dispatch_function(args)
else:
parser.print_help()
if __name__ == "__main__":
main()
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