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remove some more.
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‎examples/community/lpw_stable_diffusion_xl.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -518,7 +518,7 @@ def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
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return noise_cfg
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521-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
521+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
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def retrieve_latents(
523523
encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
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):
@@ -532,7 +532,7 @@ def retrieve_latents(
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raise AttributeError("Could not access latents of provided encoder_output")
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535-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
535+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
536536
def retrieve_timesteps(
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scheduler,
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num_inference_steps: Optional[int] = None,

‎examples/community/matryoshka.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -136,7 +136,7 @@ def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
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return noise_cfg
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138138

139-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
139+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
140140
def retrieve_timesteps(
141141
scheduler,
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num_inference_steps: Optional[int] = None,

‎examples/community/mixture_tiling_sdxl.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -223,7 +223,7 @@ def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
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return noise_cfg
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226-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
226+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
227227
def retrieve_timesteps(
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scheduler,
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num_inference_steps: Optional[int] = None,

‎examples/community/mod_controlnet_tile_sr_sdxl.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -244,7 +244,7 @@ def _tile2latent_indices(
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return latent_row_init, latent_row_end, latent_col_init, latent_col_end
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246246

247-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
247+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
248248
def retrieve_latents(
249249
encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
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):

‎examples/community/pipeline_animatediff_img2video.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -180,7 +180,7 @@ def tensor2vid(video: torch.Tensor, processor, output_type="np"):
180180
return outputs
181181

182182

183-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
183+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
184184
def retrieve_latents(
185185
encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
186186
):
@@ -194,7 +194,7 @@ def retrieve_latents(
194194
raise AttributeError("Could not access latents of provided encoder_output")
195195

196196

197-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
197+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
198198
def retrieve_timesteps(
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scheduler,
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num_inference_steps: Optional[int] = None,

‎examples/community/pipeline_controlnet_xl_kolors.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -113,7 +113,7 @@
113113
"""
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116-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
116+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
117117
def retrieve_latents(
118118
encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
119119
):

‎examples/community/pipeline_controlnet_xl_kolors_img2img.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -133,7 +133,7 @@
133133
"""
134134

135135

136-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
136+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
137137
def retrieve_latents(
138138
encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
139139
):

‎examples/community/pipeline_controlnet_xl_kolors_inpaint.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -120,7 +120,7 @@
120120
"""
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122122

123-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
123+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
124124
def retrieve_latents(
125125
encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
126126
):
@@ -134,7 +134,7 @@ def retrieve_latents(
134134
raise AttributeError("Could not access latents of provided encoder_output")
135135

136136

137-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
137+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
138138
def retrieve_timesteps(
139139
scheduler,
140140
num_inference_steps: Optional[int] = None,

‎examples/community/pipeline_faithdiff_stable_diffusion_xl.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -1101,7 +1101,7 @@ def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
11011101
return noise_cfg
11021102

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1104-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
1104+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
11051105
def retrieve_latents(
11061106
encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
11071107
):
@@ -1125,7 +1125,7 @@ def retrieve_latents(
11251125
raise AttributeError("Could not access latents of provided encoder_output")
11261126

11271127

1128-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
1128+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
11291129
def retrieve_timesteps(
11301130
scheduler,
11311131
num_inference_steps: Optional[int] = None,

‎examples/community/pipeline_flux_differential_img2img.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -95,7 +95,7 @@ def calculate_shift(
9595
return mu
9696

9797

98-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.retrieve_latents
98+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_latents
9999
def retrieve_latents(
100100
encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample"
101101
):
@@ -109,7 +109,7 @@ def retrieve_latents(
109109
raise AttributeError("Could not access latents of provided encoder_output")
110110

111111

112-
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.retrieve_timesteps
112+
# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_utils.retrieve_timesteps
113113
def retrieve_timesteps(
114114
scheduler,
115115
num_inference_steps: Optional[int] = None,

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