[Fixed] attributeerror: nonetype object has no attribute sd_model_hash

What is sd_model_hash?

The Stable Diffusion web UI uses this attribute while generating images using stable diffusion models. Every model has a specific hash value, and the web UI checks which stable diffusion model works best. The hash value retrieves the model and loads it into your device’s memory.

Sample Usage

See this code to know how this attribute works. The model here uses sd_model_hash the value “768-v-ema”. Once the model is chosen, it can be utilized for generating images.

import os
import sd_models

model_hash = "768-v-ema"
model_path = os.path.join(os.path.dirname(__file__), "models", model_hash)
model = sd_models.load_model(model_path)

About the error

You get the “attributeerror: nonetype object has no attribute sd_model_hash” error because you are trying to access an attribute that holds a None value. The attribute here is the sd_model_hash attribute.

Reasons of error

The “attributeerror: nonetype object has no attribute sd_model_hash” error occurs due to the following reasons:

• This object has no value, and you are trying to access it.
• The object was never initialized.
• The object had a None value on initialization.
• The function where this object is being received might be incorrectly defined.

Methods of resolving the error

The following methods will help you resolve the attributeerror: nonetype object has no attribute sd_model_hash.

Check if the object is not NONE

You can check whether the object that you are passing is actually None or not. Use the given code block to know how you can check the same.

obj = None

if obj:
  print(obj.sc)
else:
  print("The variable obj is None.")

Provide a value to your object

Before passing, you can assign a sample value to the object. This will help you avoid the “attributeerror: nonetype object has no attribute sd_model_hash” error. See the example given below. In this case, MyObject is a sample class. The object has been initialized on calling. This way, it won’t hold None value. Also, you may check the type of value your object holds by putting a print statement before passing it.

class MyObject:
    sc = 'secret code'

obj = MyObject()

print(obj.sc)

Downgrade the Automatic 1111 webui package

You can also try downgrading the Automatic 1111 webui package. This will help you resolve the “attributeerror: nonetype object has no attribute sd_model_hash” error. It occurs with version 2.0.0 of the Automatic 1111 webui package. Thus, you should change the version to a lower one. The WebUI checks whether the hash value has been updated or not.

Otherwise, in order to suit the interface to new 512×512 resolution models, you should consider patching or checking for the latest updates.

Variational Autoencoder and model incompatibility problem

At times, the Variational Autoencoder may not be compatible with the model. You should check whether these versions match or not else you are prone to get the “attributeerror: nonetype object has no attribute sd_model_hash” error. In case the Variational Autoencoder is not compatible with the model that you have loaded, you will get a value error. The load_model() function gives a rough outline of the model loading process. It can be altered as per your specific model.

from diffusers import AutoencoderKL

# Define function to load the model
def load_model(model_path):
    """
    Loads a Stable Diffusion model from a checkpoint file.

    Args:
        model_path: Path to the model checkpoint file.

    Returns:
        A Stable Diffusion model.
    """
    # Import the model class
    from diffusers import StableDiffusionPipeline

    # Load the model
    model = StableDiffusionPipeline.from_pretrained(model_path)

    return model

# Load VAE and model
vae = AutoencoderKL.from_pretrained("path/to/vae.ckpt")
model = load_model("path/to/model.ckpt")

# Check compatibility
if not vae.is_compatible_with_model(model):
    raise ValueError(
        "Incompatible VAE and model! Please ensure they are compatible versions and architectures."
    )

Other tips while working with sd_model_hash

• Choose a model and its corresponding sd_model_hash value. Verify the value again.
• Check if your model is present in models directory.
• Restart the interface again in case you have made changes.
• This model may create issues in the huggingface as well. You should use well-defined yaml files along with the latest SD2.1 installation for the same.

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Conclusion

This article elaborates on the reasons for the attributeerror: nonetype object has no attribute sd_model_hash error in Python. It discusses measures through which you can resolve this.