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This commit is contained in:
sayakpaul
2025-12-17 18:09:26 +05:30
parent d6498d26d7
commit ce12b356df
1 changed files with 3 additions and 4 deletions
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7
src/diffusers/pipelines/qwenimage/pipeline_qwenimage_layered.py
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@@ -72,7 +72,7 @@ EXAMPLE_DOC_STRING = """
"""
# Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage.calculate_shift
# Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage_utils.calculate_shift
def calculate_shift(
image_seq_len,
base_seq_len: int = 256,
@@ -86,7 +86,7 @@ def calculate_shift(
return mu
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
def retrieve_timesteps(
scheduler,
num_inference_steps: Optional[int] = None,
@@ -146,7 +146,7 @@ def retrieve_timesteps(
return timesteps, num_inference_steps
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
def retrieve_latents(
encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
):
@@ -160,7 +160,6 @@ def retrieve_latents(
raise AttributeError("Could not access latents of provided encoder_output")
# Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage_edit_plus.calculate_dimensions
def calculate_dimensions(target_area, ratio):
width = math.sqrt(target_area * ratio)
height = width / ratio