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Merged
merged 2 commits into from
Jun 23, 2024
Merged

Update pipeline_stable_diffusion_3_controlnet.py #8660

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e2e34f8
Update pipeline_stable_diffusion_3_controlnet.py
haofanwang Jun 21, 2024
ed8da60
Merge branch 'main' into patch-12
Jun 21, 2024
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8 changes: 8 additions & 0 deletions src/diffusers/pipelines/controlnet_sd3/pipeline_stable_diffusion_3_controlnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -513,6 +513,7 @@ def check_inputs(
pooled_prompt_embeds=None,
negative_pooled_prompt_embeds=None,
callback_on_step_end_tensor_inputs=None,
max_sequence_length=None,
):
if height % 8 != 0 or width % 8 != 0:
raise ValueError(f"`height` and `width` have to be divisible by 8 but are {height} and {width}.")
Expand Down Expand Up @@ -584,6 +585,9 @@ def check_inputs(
"If `negative_prompt_embeds` are provided, `negative_pooled_prompt_embeds` also have to be passed. Make sure to generate `negative_pooled_prompt_embeds` from the same text encoder that was used to generate `negative_prompt_embeds`."
)

if max_sequence_length is not None and max_sequence_length > 512:
raise ValueError(f"`max_sequence_length` cannot be greater than 512 but is {max_sequence_length}")

# Copied from diffusers.pipelines.stable_diffusion_3.pipeline_stable_diffusion_3.StableDiffusion3Pipeline.prepare_latents
def prepare_latents(
self,
Expand Down Expand Up @@ -710,6 +714,7 @@ def __call__(
clip_skip: Optional[int] = None,
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,
):
r"""
Function invoked when calling the pipeline for generation.
Expand Down Expand Up @@ -811,6 +816,7 @@ def __call__(
The list of tensor inputs for the `callback_on_step_end` function. The tensors specified in the list
will be passed as `callback_kwargs` argument. You will only be able to include variables listed in the
`._callback_tensor_inputs` attribute of your pipeline class.
max_sequence_length (`int` defaults to 256): Maximum sequence length to use with the `prompt`.

Examples:

Expand Down Expand Up @@ -850,6 +856,7 @@ def __call__(
pooled_prompt_embeds=pooled_prompt_embeds,
negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
callback_on_step_end_tensor_inputs=callback_on_step_end_tensor_inputs,
max_sequence_length=max_sequence_length,
)

self._guidance_scale = guidance_scale
Expand Down Expand Up @@ -888,6 +895,7 @@ def __call__(
device=device,
clip_skip=self.clip_skip,
num_images_per_prompt=num_images_per_prompt,
max_sequence_length=max_sequence_length,
)

if self.do_classifier_free_guidance:
Expand Down