Z_Image_Turbo_generate – 7 MCP servers offer this tool
What it usually takes
prompt– in 7 of 7random_seed– in 7 of 7resolution– in 7 of 7seed– in 7 of 7shift– in 7 of 7steps– in 7 of 7gallery_images– in 6 of 7enhance– in 1 of 7return_image– in 1 of 7
No server marks it as only reading: treat it as able to change data.
From each publisher's own tool list. We never call a tool.
Servers
| Server | Inputs | Read-only? |
|---|---|---|
Z Image Turbo co.huggingface.tongyi-mai/z-image-turbo Generate an image using the Z-Image model based on the provided prompt and settings. This function is triggered when the user clicks the "Generate" button. It processes the input prompt (optionally enhancing it), configures generation parameters, and produces an image using the Z-Image diffusion transformer pipeline. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: tuple: (gallery_images, seed_str, seed_int), - gallery_images: Updated list of generated images including the new image, - seed_str: String representation of the seed used for generation, - seed_int: Integer representation of the seed used for generation | gallery_images,prompt,random_seed,resolution,seed,shift,steps | Not stated |
Z Image Turbo co.huggingface.mcp-tools/z-image-turbo Generate an image using the Z-Image model based on the provided prompt and settings. This function is triggered when the user clicks the "Generate" button. It processes the input prompt (optionally enhancing it), configures generation parameters, and produces an image using the Z-Image diffusion transformer pipeline. Returns: tuple: (gallery_images, seed_str, seed_int), - seed_str: String representation of the seed used for generation, - seed_int: Integer representation of the seed used for generation | prompt,random_seed,resolution,seed,shift,steps | Not stated |
Z Image Turbo co.huggingface.cpuai/z-image-turbo Gradio 生成入口。 这个函数在 ZeroGPU 环境中会触发动态 GPU 分配。 If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool | enhance,gallery_images,prompt,random_seed,resolution,seed,shift,steps | Not stated |
Z Image Turbo co.huggingface.jinguotianxin/z-image-turbo Generate an image using the Z-Image model based on the provided prompt and settings. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: tuple: (gallery_images, seed_str, seed_int) | gallery_images,prompt,random_seed,resolution,seed,shift,steps | Not stated |
Z Image Turbo co.huggingface.gaak2026/z-image-turbo Generate an image using the Z-Image model based on the provided prompt and settings. This function is triggered when the user clicks the "Generate" button. It processes the input prompt (optionally enhancing it), configures generation parameters, and produces an image using the Z-Image diffusion transformer pipeline. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: tuple: (gallery_images, seed_str, seed_int), - gallery_images: Updated list of generated images including the new image, - seed_str: String representation of the seed used for generation, - seed_int: Integer representation of the seed used for generation | gallery_images,prompt,random_seed,resolution,seed,shift,steps | Not stated |
Z Image Turbo co.huggingface.joelshanky/z-image-turbo Generate an image using the Z-Image model based on the provided prompt and settings. This function is triggered when the user clicks the "Generate" button. It processes the input prompt (optionally enhancing it), configures generation parameters, and produces an image using the Z-Image diffusion transformer pipeline. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: tuple: (gallery_images, seed_str, seed_int), - gallery_images: Updated list of generated images including the new image, - seed_str: String representation of the seed used for generation, - seed_int: Integer representation of the seed used for generation | gallery_images,prompt,random_seed,resolution,seed,shift,steps | Not stated |
Z Image Turbo co.huggingface.azure99/z-image-turbo Generate an image using the Z-Image model based on the provided prompt and settings. This function is triggered when the user clicks the "Generate" button. It processes the input prompt (optionally enhancing it), configures generation parameters, and produces an image using the Z-Image diffusion transformer pipeline. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: tuple: (gallery_images, seed_str, seed_int), - gallery_images: Updated list of generated images including the new image, - seed_str: String representation of the seed used for generation, - seed_int: Integer representation of the seed used for generation | gallery_images,prompt,random_seed,resolution,return_image,seed,shift,steps | Not stated |