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tiny-qwenimage-edit-modular / modular_model_index.json
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{
"_blocks_class_name": "SequentialPipelineBlocks",
"_class_name": "QwenImageModularPipeline",
"_diffusers_version": "0.36.0.dev0",
"processor": [
"transformers",
"Qwen2VLProcessor",
{
"repo": "hf-internal-testing/tiny-qwenimage-edit-pipe",
"revision": null,
"subfolder": "processor",
"type_hint": [
"transformers",
"Qwen2VLProcessor"
],
"variant": null
}
],
"prompt_template_encode": "<|im_start|>system\nDescribe the key features of the input image (color, shape, size, texture, objects, background), then explain how the user's text instruction should alter or modify the image. Generate a new image that meets the user's requirements while maintaining consistency with the original input where appropriate.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>{}<|im_end|>\n<|im_start|>assistant\n",
"prompt_template_encode_start_idx": 64,
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler",
{
"repo": "hf-internal-testing/tiny-qwenimage-edit-pipe",
"revision": null,
"subfolder": "scheduler",
"type_hint": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"variant": null
}
],
"text_encoder": [
"transformers",
"Qwen2_5_VLForConditionalGeneration",
{
"repo": "hf-internal-testing/tiny-qwenimage-edit-pipe",
"revision": null,
"subfolder": "text_encoder",
"type_hint": [
"transformers",
"Qwen2_5_VLForConditionalGeneration"
],
"variant": null
}
],
"transformer": [
"diffusers",
"QwenImageTransformer2DModel",
{
"repo": "hf-internal-testing/tiny-qwenimage-edit-pipe",
"revision": null,
"subfolder": "transformer",
"type_hint": [
"diffusers",
"QwenImageTransformer2DModel"
],
"variant": null
}
],
"vae": [
"diffusers",
"AutoencoderKLQwenImage",
{
"repo": "hf-internal-testing/tiny-qwenimage-edit-pipe",
"revision": null,
"subfolder": "vae",
"type_hint": [
"diffusers",
"AutoencoderKLQwenImage"
],
"variant": null
}
]
}