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update

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DN6
2025-06-14 00:33:39 +05:30
parent 4f00bae5de
commit 0497faa3db
1 changed files with 3 additions and 3 deletions
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6
src/diffusers/pipelines/chroma/pipeline_chroma.py
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@@ -300,7 +300,10 @@ class ChromaPipeline(
device=device,
)
dtype = self.text_encoder.dtype if self.text_encoder is not None else self.transformer.dtype
text_ids = torch.zeros(prompt_embeds.shape[1], 3).to(device=device, dtype=dtype)
negative_text_ids = None
if do_classifier_free_guidance and negative_prompt_embeds is None:
negative_prompt = negative_prompt or ""
negative_prompt = batch_size * [negative_prompt] if isinstance(negative_prompt, str) else negative_prompt
@@ -330,9 +333,6 @@ class ChromaPipeline(
# Retrieve the original scale by scaling back the LoRA layers
unscale_lora_layers(self.text_encoder, lora_scale)
dtype = self.text_encoder.dtype if self.text_encoder is not None else self.transformer.dtype
text_ids = torch.zeros(prompt_embeds.shape[1], 3).to(device=device, dtype=dtype)
return prompt_embeds, text_ids, negative_prompt_embeds, negative_text_ids
# Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline.encode_image