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[NPU]:Replace 'cuda' in the project with abstract interfaces

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feng0w0
2026-01-15 20:33:01 +08:00
parent f4d06ce3fc
commit 209a350c0f
18 changed files with 86 additions and 38 deletions
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5
diffsynth/pipelines/flux2_image.py
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@@ -6,6 +6,7 @@ from einops import rearrange
import numpy as np
from typing import Union, List, Optional, Tuple
from ..core.device.npu_compatible_device import get_device_type
from ..diffusion import FlowMatchScheduler
from ..core import ModelConfig, gradient_checkpoint_forward
from ..diffusion.base_pipeline import BasePipeline, PipelineUnit, ControlNetInput
@@ -18,7 +19,7 @@ from ..models.flux2_vae import Flux2VAE
class Flux2ImagePipeline(BasePipeline):
def __init__(self, device="cuda", torch_dtype=torch.bfloat16):
def __init__(self, device=get_device_type(), torch_dtype=torch.bfloat16):
super().__init__(
device=device, torch_dtype=torch_dtype,
height_division_factor=16, width_division_factor=16,
@@ -42,7 +43,7 @@ class Flux2ImagePipeline(BasePipeline):
@staticmethod
def from_pretrained(
torch_dtype: torch.dtype = torch.bfloat16,
device: Union[str, torch.device] = "cuda",
device: Union[str, torch.device] = get_device_type(),
model_configs: list[ModelConfig] = [],
tokenizer_config: ModelConfig = ModelConfig(model_id="black-forest-labs/FLUX.2-dev", origin_file_pattern="tokenizer/"),
vram_limit: float = None,