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46 lines
2.0 KiB
Python
46 lines
2.0 KiB
Python
import pytest
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from comfy_execution.graph_utils import GraphBuilder
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from comfy.client.embedded_comfy_client import Comfy
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from comfy.api.components.schema.prompt import Prompt
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class TestQwen3VLMixedMedia:
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@pytest.mark.asyncio
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async def test_qwen3vl_mixed_media(self):
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graph = GraphBuilder()
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# Load Qwen3-VL-2B-Instruct
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model_loader = graph.node("TransformersLoader1", ckpt_name="Qwen/Qwen3-VL-2B-Instruct", trust_remote_code=True)
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# Load video (Goat)
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video_url = "https://upload.wikimedia.org/wikipedia/commons/f/f7/2024-04-05_Luisenpark_MA_Ziegen_2.webm"
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# Use frame cap to keep it light
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load_video = graph.node("LoadVideoFromURL", value=video_url, frame_load_cap=16, select_every_nth=10)
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# Load image (Worm)
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image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/6/60/Earthworm.jpg/330px-Earthworm.jpg"
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load_image = graph.node("LoadImageFromURL", value=image_url)
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# Tokenize with both video and image
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# Qwen3-VL likely supports 'videos' input natively like Qwen2-VL
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tokenizer = graph.node("OneShotInstructTokenize", model=model_loader.out(0), prompt="Describe what you see in the video and the image.", videos=load_video.out(0), images=load_image.out(0), chat_template="default")
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# Generate
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generation = graph.node("TransformersGenerate", model=model_loader.out(0), tokens=tokenizer.out(0), max_new_tokens=100, seed=42)
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# OmitThink
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omit_think = graph.node("OmitThink", value=generation.out(0))
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# Save output
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graph.node("SaveString", value=omit_think.out(0), filename_prefix="qwen3vl_mixed_media_test")
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workflow = graph.finalize()
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prompt = Prompt.validate(workflow)
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from comfy.cli_args_types import Configuration
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config = Configuration()
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config.disable_requests_caching = True
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async with Comfy(configuration=config) as client:
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outputs = await client.queue_prompt(prompt)
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assert len(outputs) > 0
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