from diffusers import StableDiffusionImg2ImgPipeline
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.schedulers import KarrasDiffusionSchedulers
from transformers import CLIPTextModel, CLIPTokenizer
from typing import Optional, Any
# A custom pipeline inheriting from StableDiffusionImg2ImgPipeline,
# but with an incorrect __init__ signature. It incorrectly tries
# to catch `requires_safety_checker` with **kwargs.
class MyCustomPipeline(StableDiffusionImg2ImgPipeline):
 def __init__(
 self,
 vae: AutoencoderKL,
 text_encoder: CLIPTextModel,
 tokenizer: CLIPTokenizer,
 unet: UNet2DConditionModel,
 scheduler: KarrasDiffusionSchedulers,
 safety_checker: Optional[Any] = None,
 feature_extractor: Optional[Any] = None,
 image_encoder: Optional[Any] = None,
 **kwargs,
 ):
 super().__init__(
 vae=vae,
 text_encoder=text_encoder,
 tokenizer=tokenizer,
 unet=unet,
 scheduler=scheduler,
 safety_checker=safety_checker,
 feature_extractor=feature_extractor,
 image_encoder=image_encoder,
 **kwargs,
 )
# This line will fail and raise the misleading ValueError.
# It can be copy-pasted directly to reproduce the bug.
pipe = MyCustomPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")

ValueError: MyCustomPipeline {
 "_class_name": "MyCustomPipeline",
 "_diffusers_version": "0.29.0.dev0", # Replace with your version
 "feature_extractor": [
 "transformers",
 "CLIPImageProcessor"
 ],
 "image_encoder": [
 null,
 null
 ],
 "requires_safety_checker": true,
 "safety_checker": [
 "stable_diffusion",
 "StableDiffusionSafetyChecker"
 ],
 "scheduler": [
 "diffusers",
 "PNDMScheduler"
 ],
 "text_encoder": [
 "transformers",
 "CLIPTextModel"
 ],
 "tokenizer": [
 "transformers",
 "CLIPTokenizer"
 ],
 "unet": [
 "diffusers",
 "UNet2DConditionModel"
 ],
 "vae": [
 "diffusers",
 "AutoencoderKL"
 ]
}
 has been incorrectly initialized or <class '__main__.MyCustomPipeline'> is incorrectly implemented. Expected ['feature_extractor', 'image_encoder', 'kwargs', 'safety_checker', 'scheduler', 'text_encoder', 'tokenizer', 'unet', 'vae'] to be defined, but ['feature_extractor', 'image_encoder', 'requires_safety_checker', 'safety_checker', 'scheduler', 'text_encoder', 'tokenizer', 'unet', 'vae'] are defined.