diff --git a/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py b/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py index 1ed181afd5..1a55ffaaf1 100644 --- a/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py +++ b/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py @@ -797,7 +797,7 @@ class StableDiffusionControlNetImg2ImgPipeline( instead. image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, `List[np.ndarray]`,: `List[List[torch.FloatTensor]]`, `List[List[np.ndarray]]` or `List[List[PIL.Image.Image]]`): - The initial image will be used as the starting point for the image generation process. Can also accpet + The initial image will be used as the starting point for the image generation process. Can also accept image latents as `image`, if passing latents directly, it will not be encoded again. control_image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, `List[np.ndarray]`,: `List[List[torch.FloatTensor]]`, `List[List[np.ndarray]]` or `List[List[PIL.Image.Image]]`): diff --git a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py index cb97c505b8..7676809b4b 100644 --- a/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py +++ b/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py @@ -474,7 +474,7 @@ class KandinskyImg2ImgCombinedPipeline(DiffusionPipeline): The prompt or prompts to guide the image generation. image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, or `List[np.ndarray]`): `Image`, or tensor representing an image batch, that will be used as the starting point for the - process. Can also accpet image latents as `image`, if passing latents directly, it will not be encoded + process. Can also accept image latents as `image`, if passing latents directly, it will not be encoded again. negative_prompt (`str` or `List[str]`, *optional*): The prompt or prompts not to guide the image generation. Ignored when not using guidance (i.e., ignored @@ -720,7 +720,7 @@ class KandinskyInpaintCombinedPipeline(DiffusionPipeline): The prompt or prompts to guide the image generation. image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, or `List[np.ndarray]`): `Image`, or tensor representing an image batch, that will be used as the starting point for the - process. Can also accpet image latents as `image`, if passing latents directly, it will not be encoded + process. Can also accept image latents as `image`, if passing latents directly, it will not be encoded again. mask_image (`np.array`): Tensor representing an image batch, to mask `image`. White pixels in the mask will be repainted, while diff --git a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py index 6c174d46a5..4f8626a9bd 100644 --- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py +++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py @@ -455,7 +455,7 @@ class KandinskyV22Img2ImgCombinedPipeline(DiffusionPipeline): The prompt or prompts to guide the image generation. image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, or `List[np.ndarray]`): `Image`, or tensor representing an image batch, that will be used as the starting point for the - process. Can also accpet image latents as `image`, if passing latents directly, it will not be encoded + process. Can also accept image latents as `image`, if passing latents directly, it will not be encoded again. negative_prompt (`str` or `List[str]`, *optional*): The prompt or prompts not to guide the image generation. Ignored when not using guidance (i.e., ignored @@ -692,7 +692,7 @@ class KandinskyV22InpaintCombinedPipeline(DiffusionPipeline): The prompt or prompts to guide the image generation. image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, or `List[np.ndarray]`): `Image`, or tensor representing an image batch, that will be used as the starting point for the - process. Can also accpet image latents as `image`, if passing latents directly, it will not be encoded + process. Can also accept image latents as `image`, if passing latents directly, it will not be encoded again. mask_image (`np.array`): Tensor representing an image batch, to mask `image`. White pixels in the mask will be repainted, while diff --git a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_controlnet_img2img.py b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_controlnet_img2img.py index 53918fede7..1b3328faaf 100644 --- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_controlnet_img2img.py +++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_controlnet_img2img.py @@ -258,7 +258,7 @@ class KandinskyV22ControlnetImg2ImgPipeline(DiffusionPipeline): The clip image embeddings for text prompt, that will be used to condition the image generation. image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, or `List[np.ndarray]`): `Image`, or tensor representing an image batch, that will be used as the starting point for the - process. Can also accpet image latents as `image`, if passing latents directly, it will not be encoded + process. Can also accept image latents as `image`, if passing latents directly, it will not be encoded again. strength (`float`, *optional*, defaults to 0.8): Conceptually, indicates how much to transform the reference `image`. Must be between 0 and 1. `image` diff --git a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_img2img.py b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_img2img.py index dba50312e8..82e609ce7c 100644 --- a/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_img2img.py +++ b/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_img2img.py @@ -230,7 +230,7 @@ class KandinskyV22Img2ImgPipeline(DiffusionPipeline): The clip image embeddings for text prompt, that will be used to condition the image generation. image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, or `List[np.ndarray]`): `Image`, or tensor representing an image batch, that will be used as the starting point for the - process. Can also accpet image latents as `image`, if passing latents directly, it will not be encoded + process. Can also accept image latents as `image`, if passing latents directly, it will not be encoded again. strength (`float`, *optional*, defaults to 0.8): Conceptually, indicates how much to transform the reference `image`. Must be between 0 and 1. `image` diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_pix2pix_zero.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_pix2pix_zero.py index e55f0727c1..68965819a3 100644 --- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_pix2pix_zero.py +++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_pix2pix_zero.py @@ -1095,7 +1095,7 @@ class StableDiffusionPix2PixZeroPipeline(DiffusionPipeline): The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`. instead. image (`torch.FloatTensor` `np.ndarray`, `PIL.Image.Image`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, or `List[np.ndarray]`): - `Image`, or tensor representing an image batch which will be used for conditioning. Can also accpet + `Image`, or tensor representing an image batch which will be used for conditioning. Can also accept image latents as `image`, if passing latents directly, it will not be encoded again. num_inference_steps (`int`, *optional*, defaults to 50): The number of denoising steps. More denoising steps usually lead to a higher quality image at the diff --git a/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py b/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py index 25bf67ba6b..7da80b2342 100644 --- a/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py +++ b/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py @@ -561,7 +561,7 @@ class VideoToVideoSDPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Lor The prompt or prompts to guide image generation. If not defined, you need to pass `prompt_embeds`. video (`List[np.ndarray]` or `torch.FloatTensor`): `video` frames or tensor representing a video batch to be used as the starting point for the process. - Can also accpet video latents as `image`, if passing latents directly, it will not be encoded again. + Can also accept video latents as `image`, if passing latents directly, it will not be encoded again. strength (`float`, *optional*, defaults to 0.8): Indicates extent to transform the reference `video`. Must be between 0 and 1. `video` is used as a starting point, adding more noise to it the larger the `strength`. The number of denoising steps