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: 1,265 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 39 40 41 42 43 44 45 | # SPDX-License-Identifier: Apache-2.0
from trainer.distributed.communication_op import *
from trainer.distributed.parallel_state import (
cleanup_dist_env_and_memory, get_dp_group, get_dp_rank, get_dp_world_size,
get_local_torch_device, get_sp_group, get_sp_parallel_rank,
get_sp_world_size, get_tp_group, get_tp_rank, get_tp_world_size,
get_world_group, get_world_rank, get_world_size,
init_distributed_environment, initialize_model_parallel,
maybe_init_distributed_environment_and_model_parallel,
model_parallel_is_initialized)
from trainer.distributed.utils import *
__all__ = [
# Initialization
"init_distributed_environment",
"initialize_model_parallel",
"cleanup_dist_env_and_memory",
"model_parallel_is_initialized",
"maybe_init_distributed_environment_and_model_parallel",
# World group
"get_world_group",
"get_world_rank",
"get_world_size",
# Data parallel group
"get_dp_group",
"get_dp_rank",
"get_dp_world_size",
# Sequence parallel group
"get_sp_group",
"get_sp_parallel_rank",
"get_sp_world_size",
# Tensor parallel group
"get_tp_group",
"get_tp_rank",
"get_tp_world_size",
# Get torch device
"get_local_torch_device",
]
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