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printing pipeline doesn't take customized ones into account #2806

@moono

Description

@moono

Describe the bug

I want to print current pipeline status as stated here Diffusers doc How does loading work? section using print(pipe).

It prints ok when default config is used, but if I change (customize) pipeline, it still prints same(default) configuration.

Is it intentional? or bug?

Reproduction

from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler

# default settings
print("default setting")
repo_id = "CompVis/stable-diffusion-v1-4"
pipe = StableDiffusionPipeline.from_pretrained(repo_id)
print(pipe)

# let's change scheduler
print()
print("custom setting")
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
print(pipe)

Logs

default setting
StableDiffusionPipeline {
  "_class_name": "StableDiffusionPipeline",
  "_diffusers_version": "0.14.0",
  "feature_extractor": [
    "transformers",
    "CLIPFeatureExtractor"
  ],
  "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"
  ]
}


custom setting
StableDiffusionPipeline {
  "_class_name": "StableDiffusionPipeline",
  "_diffusers_version": "0.14.0",
  "feature_extractor": [
    "transformers",
    "CLIPFeatureExtractor"
  ],
  "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"
  ]
}

System Info

  • diffusers version: 0.14.0
  • Platform: Linux-5.4.0-144-generic-x86_64-with-glibc2.27
  • Python version: 3.9.16
  • PyTorch version (GPU?): 1.13.1+cu117 (True)
  • Huggingface_hub version: 0.13.2
  • Transformers version: 4.26.1
  • Accelerate version: 0.18.0.dev0
  • xFormers version: 0.0.16
  • Using GPU in script?:
  • Using distributed or parallel set-up in script?:

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