Revert "much stricter ruff linting"

This reverts commit 310dbf1574.
This commit is contained in:
Vladimir Mandic
2026-05-11 08:13:57 +02:00
parent 8296d07ff8
commit c8d6fd5cf8
132 changed files with 363 additions and 292 deletions
+1 -1
View File
@@ -191,7 +191,7 @@ class CogView4CFGZeroPipeline(DiffusionPipeline, CogView4LoraLoaderMixin):
def _get_glm_embeds(
self,
prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
max_sequence_length: int = 1024,
device: Optional[torch.device] = None,
dtype: Optional[torch.dtype] = None,
+4 -4
View File
@@ -217,7 +217,7 @@ class FluxCFGZeroPipeline(
def _get_t5_prompt_embeds(
self,
prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
num_images_per_prompt: int = 1,
max_sequence_length: int = 512,
device: Optional[torch.device] = None,
@@ -535,7 +535,7 @@ class FluxCFGZeroPipeline(
@staticmethod
def _unpack_latents(latents, height, width, vae_scale_factor):
batch_size, _num_patches, channels = latents.shape
batch_size, num_patches, channels = latents.shape
# VAE applies 8x compression on images but we must also account for packing which requires
# latent height and width to be divisible by 2.
@@ -637,9 +637,9 @@ class FluxCFGZeroPipeline(
@replace_example_docstring(EXAMPLE_DOC_STRING)
def __call__(
self,
prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
prompt_2: Optional[Union[str, List[str]]] = None,
negative_prompt: Union[str, List[str]] | None = None,
negative_prompt: Union[str, List[str]] = None,
negative_prompt_2: Optional[Union[str, List[str]]] = None,
true_cfg_scale: float = 1.0,
height: Optional[int] = None,
+3 -3
View File
@@ -211,7 +211,7 @@ class HiDreamImageCFGZeroPipeline(DiffusionPipeline, HiDreamImageLoraLoaderMixin
def _get_t5_prompt_embeds(
self,
prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
max_sequence_length: int = 128,
device: Optional[torch.device] = None,
dtype: Optional[torch.dtype] = None,
@@ -285,7 +285,7 @@ class HiDreamImageCFGZeroPipeline(DiffusionPipeline, HiDreamImageLoraLoaderMixin
def _get_llama3_prompt_embeds(
self,
prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
max_sequence_length: int = 128,
device: Optional[torch.device] = None,
dtype: Optional[torch.dtype] = None,
@@ -545,7 +545,7 @@ class HiDreamImageCFGZeroPipeline(DiffusionPipeline, HiDreamImageLoraLoaderMixin
@torch.no_grad()
def __call__(
self,
prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
prompt_2: Optional[Union[str, List[str]]] = None,
prompt_3: Optional[Union[str, List[str]]] = None,
prompt_4: Optional[Union[str, List[str]]] = None,
+6 -6
View File
@@ -317,7 +317,7 @@ class HunyuanVideoCFGZeroPipeline(DiffusionPipeline, HunyuanVideoLoraLoaderMixin
def encode_prompt(
self,
prompt: Union[str, List[str]],
prompt_2: Union[str, List[str]] | None = None,
prompt_2: Union[str, List[str]] = None,
prompt_template: Dict[str, Any] = DEFAULT_PROMPT_TEMPLATE,
num_videos_per_prompt: int = 1,
prompt_embeds: Optional[torch.Tensor] = None,
@@ -481,15 +481,15 @@ class HunyuanVideoCFGZeroPipeline(DiffusionPipeline, HunyuanVideoLoraLoaderMixin
@replace_example_docstring(EXAMPLE_DOC_STRING)
def __call__(
self,
prompt: Union[str, List[str]] | None = None,
prompt_2: Union[str, List[str]] | None = None,
negative_prompt: Union[str, List[str]] | None = None,
negative_prompt_2: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
prompt_2: Union[str, List[str]] = None,
negative_prompt: Union[str, List[str]] = None,
negative_prompt_2: Union[str, List[str]] = None,
height: int = 720,
width: int = 1280,
num_frames: int = 129,
num_inference_steps: int = 50,
sigmas: List[float] | None = None,
sigmas: List[float] = None,
true_cfg_scale: float = 1.0,
guidance_scale: float = 6.0,
num_videos_per_prompt: Optional[int] = 1,
+3 -3
View File
@@ -246,7 +246,7 @@ class StableDiffusion3CFGZeroPipeline(DiffusionPipeline, SD3LoraLoaderMixin, Fro
def _get_t5_prompt_embeds(
self,
prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
num_images_per_prompt: int = 1,
max_sequence_length: int = 256,
device: Optional[torch.device] = None,
@@ -786,7 +786,7 @@ class StableDiffusion3CFGZeroPipeline(DiffusionPipeline, SD3LoraLoaderMixin, Fro
@replace_example_docstring(EXAMPLE_DOC_STRING)
def __call__(
self,
prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
prompt_2: Optional[Union[str, List[str]]] = None,
prompt_3: Optional[Union[str, List[str]]] = None,
height: Optional[int] = None,
@@ -813,7 +813,7 @@ class StableDiffusion3CFGZeroPipeline(DiffusionPipeline, SD3LoraLoaderMixin, Fro
callback_on_step_end: Optional[Callable[[int, int, Dict], None]] = None,
callback_on_step_end_tensor_inputs: List[str] = ["latents"],
max_sequence_length: int = 256,
skip_guidance_layers: List[int] | None = None,
skip_guidance_layers: List[int] = None,
skip_layer_guidance_scale: float = 2.8,
skip_layer_guidance_stop: float = 0.2,
skip_layer_guidance_start: float = 0.01,
+3 -3
View File
@@ -153,7 +153,7 @@ class WanCFGZeroPipeline(DiffusionPipeline, WanLoraLoaderMixin):
def _get_t5_prompt_embeds(
self,
prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
num_videos_per_prompt: int = 1,
max_sequence_length: int = 226,
device: Optional[torch.device] = None,
@@ -374,8 +374,8 @@ class WanCFGZeroPipeline(DiffusionPipeline, WanLoraLoaderMixin):
@replace_example_docstring(EXAMPLE_DOC_STRING)
def __call__(
self,
prompt: Union[str, List[str]] | None = None,
negative_prompt: Union[str, List[str]] | None = None,
prompt: Union[str, List[str]] = None,
negative_prompt: Union[str, List[str]] = None,
height: int = 480,
width: int = 832,
num_frames: int = 81,