### Using in-memory image data

The Python examples in the guide above use the `open` function to read image data from disk. In some cases, you may have your image data in memory instead. Here's an example API call that uses image data stored in a `BytesIO` object:

```python
from io import BytesIO
from openai import OpenAI
client = OpenAI()

# This is the BytesIO object that contains your image data
byte_stream: BytesIO = [your image data]
byte_array = byte_stream.getvalue()
response = client.images.create_variation(
  image=byte_array,
  n=1,
  model="dall-e-2",
  size="1024x1024"
)
```

### Operating on image data

It may be useful to perform operations on images before passing them to the API. Here's an example that uses `PIL` to resize an image:

```python
from io import BytesIO
from PIL import Image
from openai import OpenAI
client = OpenAI()

# Read the image file from disk and resize it
image = Image.open("image.png")
width, height = 256, 256
image = image.resize((width, height))

# Convert the image to a BytesIO object
byte_stream = BytesIO()
image.save(byte_stream, format='PNG')
byte_array = byte_stream.getvalue()

response = client.images.create_variation(
  image=byte_array,
  n=1,
  model="dall-e-2",
  size="1024x1024"
)
```

### Error handling

API requests can potentially return errors due to invalid inputs, rate limits, or other issues. These errors can be handled with a `try...except` statement, and the error details can be found in `e.error`:

```python
import openai
from openai import OpenAI
client = OpenAI()

try:
  response = client.images.create_variation(
    image=open("image_edit_mask.png", "rb"),
    n=1,
    model="dall-e-2",
    size="1024x1024"
  )
  print(response.data[0].url)
except openai.OpenAIError as e:
  print(e.http_status)
  print(e.error)
```