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Clean up duplicate lines in encode_prompt (#4369)

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* Clean up duplicate line

* Clean up duplicate lines

* Clean up duplicate line
This commit is contained in:
Andrey Voroshilov
2023-07-30 03:19:46 -07:00
committed by GitHub
parent 4f986fb28a
commit ea5b0575f8
4 changed files with 0 additions and 4 deletions
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1
src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl.py
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@@ -305,7 +305,6 @@ class StableDiffusionXLControlNetPipeline(DiffusionPipeline, TextualInversionLoa
text_input_ids = text_inputs.input_ids
untruncated_ids = tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
untruncated_ids = tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
if untruncated_ids.shape[-1] >= text_input_ids.shape[-1] and not torch.equal(
text_input_ids, untruncated_ids

1
src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py
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@@ -310,7 +310,6 @@ class StableDiffusionXLPipeline(DiffusionPipeline, FromSingleFileMixin, LoraLoad
text_input_ids = text_inputs.input_ids
untruncated_ids = tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
untruncated_ids = tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
if untruncated_ids.shape[-1] >= text_input_ids.shape[-1] and not torch.equal(
text_input_ids, untruncated_ids

1
src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py
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@@ -317,7 +317,6 @@ class StableDiffusionXLImg2ImgPipeline(DiffusionPipeline, FromSingleFileMixin, L
text_input_ids = text_inputs.input_ids
untruncated_ids = tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
untruncated_ids = tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
if untruncated_ids.shape[-1] >= text_input_ids.shape[-1] and not torch.equal(
text_input_ids, untruncated_ids

1
src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_inpaint.py
View File

@@ -458,7 +458,6 @@ class StableDiffusionXLInpaintPipeline(
text_input_ids = text_inputs.input_ids
untruncated_ids = tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
untruncated_ids = tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
if untruncated_ids.shape[-1] >= text_input_ids.shape[-1] and not torch.equal(
text_input_ids, untruncated_ids