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Don't assume 512x512 in k-diffusion pipeline (#1625) 

Don't assume 512x512 in k-diffusion pipeline.
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Pedro Cuenca 2022-12-09 11:50:29 +01:00 committed by GitHub
parent f1b726e46e
commit ff65c2d72b
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1 changed files with 7 additions and 4 deletions
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11
src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_k_diffusion.py
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@ -325,8 +325,8 @@ class StableDiffusionKDiffusionPipeline(DiffusionPipeline):
def __call__(
self,
prompt: Union[str, List[str]],
height: int = 512,
width: int = 512,
height: Optional[int] = None,
width: Optional[int] = None,
num_inference_steps: int = 50,
guidance_scale: float = 7.5,
negative_prompt: Optional[Union[str, List[str]]] = None,
@ -345,9 +345,9 @@ class StableDiffusionKDiffusionPipeline(DiffusionPipeline):
Args:
prompt (`str` or `List[str]`):
The prompt or prompts to guide the image generation.
height (`int`, *optional*, defaults to 512):
height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
The height in pixels of the generated image.
width (`int`, *optional*, defaults to 512):
width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
The width in pixels of the generated image.
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
@ -393,6 +393,9 @@ class StableDiffusionKDiffusionPipeline(DiffusionPipeline):
list of `bool`s denoting whether the corresponding generated image likely represents "not-safe-for-work"
(nsfw) content, according to the `safety_checker`.
"""
# 0. Default height and width to unet
height = height or self.unet.config.sample_size * self.vae_scale_factor
width = width or self.unet.config.sample_size * self.vae_scale_factor
# 1. Check inputs. Raise error if not correct
self.check_inputs(prompt, height, width, callback_steps)