from diffusers import FluxPipeline, AutoPipelineForInpainting, AutoPipelineForText2Image
import torch

pipe = FluxPipeline.from_pretrained(
  "black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16
)
pipe = AutoPipelineForInpainting.from_pipe(pipe)
pipe = AutoPipelineForText2Image.from_pipe(pipe)

File Untitled-8:8
      7 pipe = AutoPipelineForInpainting.from_pipe(pipe)
----> 8 pipe = AutoPipelineForText2Image.from_pipe(pipe)

File diffusers/src/diffusers/pipelines/auto_pipeline.py:534, in AutoPipelineForText2Image.from_pipe(cls, pipeline, **kwargs)
    531 missing_modules = set(expected_modules) - set(pipeline._optional_components) - set(text_2_image_kwargs.keys())
    533 if len(missing_modules) > 0:
--> 534     raise ValueError(
    535         f"Pipeline {text_2_image_cls} expected {expected_modules}, but only {set(list(passed_class_obj.keys()) + list(original_class_obj.keys()))} were passed"
    536     )
    538 model = text_2_image_cls(**text_2_image_kwargs)
    539 model.register_to_config(_name_or_path=pretrained_model_name_or_path)

ValueError: Pipeline <class 'diffusers.pipelines.flux.pipeline_flux.FluxPipeline'> expected {'tokenizer_2', 'tokenizer', 'text_encoder', 'image_encoder', 'vae', 'scheduler', 'transformer', 'feature_extractor', 'text_encoder_2'}, but only {'tokenizer_2', 'tokenizer', 'text_encoder', 'vae', 'scheduler', 'transformer', 'text_encoder_2'} were passed