1
from meshapi import ImageGenerationParams
2
3
result = client.images.generate(
4
    ImageGenerationParams(
5
        model="openai/gpt-image-1",
6
        prompt="A watercolor of a fox in a snowy forest",
7
        n=1,
8
        size="1024x1024",
9
        quality="high",
10
        output_format="webp",
11
    )
12
)
13
14
print(result.data[0].url)

1
for chunk in client.images.stream(
2
    ImageGenerationParams(
3
        model="openai/gpt-image-1",
4
        prompt="A watercolor of a fox in a snowy forest",
5
        n=1,
6
        size="1024x1024",
7
        quality="high",
8
        output_format="webp",
9
    )
10
):
11
    if chunk.status == "processing":
12
        print("Generating...")
13
    elif chunk.data:
14
        print("Done:", chunk.data[0].url)

1
from meshapi import AsyncMeshAPI, ImageGenerationParams
2
3
async_client = AsyncMeshAPI()
4
5
async for chunk in async_client.images.stream(
6
    ImageGenerationParams(
7
        model="openai/gpt-image-1",
8
        prompt="A watercolor of a fox in a snowy forest",
9
        n=1,
10
        size="1024x1024",
11
        quality="high",
12
        output_format="webp",
13
    )
14
):
15
    if chunk.status == "processing":
16
        print("Generating...")
17
    elif chunk.data:
18
        print("Done:", chunk.data[0].url)