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FLUX_2_Klein_Multi_LoRA_bulk_infer – 5 MCP servers offer this tool

What it usually takes

  • canvas_fit_mode – in 5 of 5
  • canvas_mode – in 5 of 5
  • custom_height – in 5 of 5
  • custom_prompt_text – in 5 of 5
  • custom_width – in 5 of 5
  • guidance_scale – in 5 of 5
  • input_files – in 5 of 5
  • lora_prompt_text – in 5 of 5
  • pad_color – in 5 of 5
  • param_16 – in 5 of 5
  • param_17 – in 5 of 5
  • param_18 – in 5 of 5

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

ServerInputsRead-only?
FLUX.2 Klein multi-LoRA co.huggingface.hittler-ai/flux.2-klein-multi-lora Process each uploaded image as its own GPU call, streaming results into the bulk output gallery as soon as they complete. Outputs and a CSV manifest are written to /tmp/bulk_<sid>/ with stable filenames, so a ZeroGPU quota wall mid-run still leaves earlier outputs grabbable from the gallery and from disk. Logging: each image is logged individually via _spawn_log on success or failure — same code path as single/batch, so bulk shows up in the dataset with the same schema, just with extra bulk_index / bulk_total fields embedded in the PNG metadata. 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 toolcanvas_fit_mode,canvas_mode,custom_height,custom_prompt_text,custom_width,guidance_scale,input_files,lora_prompt_text,pad_color,param_16,param_17,param_18,param_19,param_20,param_21,prompt,randomize_seed,seed,selected_titles,steps,upscale_factorNot stated
FLUX.2 Klein multi-LoRA co.huggingface.cirujanoretro/flux.2-klein-multi-lora Process each uploaded image as its own GPU call, streaming results into the bulk output gallery as soon as they complete. Outputs and a CSV manifest are written to /tmp/bulk_<sid>/ with stable filenames, so a ZeroGPU quota wall mid-run still leaves earlier outputs grabbable from the gallery and from disk. Logging: each image is logged individually via _spawn_log on success or failure — same code path as single/batch, so bulk shows up in the dataset with the same schema, just with extra bulk_index / bulk_total fields embedded in the PNG metadata. 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 toolcanvas_fit_mode,canvas_mode,custom_height,custom_prompt_text,custom_width,guidance_scale,input_files,lora_prompt_text,pad_color,param_16,param_17,param_18,param_19,param_20,param_21,prompt,randomize_seed,seed,selected_titles,steps,upscale_factorNot stated
FLUX.2 Klein multi-LoRA co.huggingface.yayite/flux.2-klein-multi-lora Process each uploaded image as its own GPU call, streaming results into the bulk output gallery as soon as they complete. Outputs and a CSV manifest are written to /tmp/bulk_<sid>/ with stable filenames, so a ZeroGPU quota wall mid-run still leaves earlier outputs grabbable from the gallery and from disk. Logging: each image is logged individually via _spawn_log on success or failure — same code path as single/batch, so bulk shows up in the dataset with the same schema, just with extra bulk_index / bulk_total fields embedded in the PNG metadata. 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 toolcanvas_fit_mode,canvas_mode,custom_height,custom_prompt_text,custom_width,guidance_scale,input_files,lora_prompt_text,pad_color,param_16,param_17,param_18,param_19,param_20,param_21,prompt,randomize_seed,seed,selected_titles,steps,upscale_factorNot stated
FLUX.2 Klein multi-LoRA co.huggingface.gcc9/flux.2-klein-multi-lora Process each uploaded image as its own GPU call, streaming results into the bulk output gallery as soon as they complete. Outputs and a CSV manifest are written to /tmp/bulk_<sid>/ with stable filenames, so a ZeroGPU quota wall mid-run still leaves earlier outputs grabbable from the gallery and from disk. Logging: each image is logged individually via _spawn_log on success or failure — same code path as single/batch, so bulk shows up in the dataset with the same schema, just with extra bulk_index / bulk_total fields embedded in the PNG metadata. 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 toolcanvas_fit_mode,canvas_mode,custom_height,custom_prompt_text,custom_width,guidance_scale,input_files,lora_prompt_text,pad_color,param_16,param_17,param_18,param_19,param_20,param_21,prompt,randomize_seed,seed,selected_titles,steps,upscale_factorNot stated
FLUX.2 Klein multi-LoRA co.huggingface.talkhan/flux.2-klein-multi-lora Process each uploaded image as its own GPU call, streaming results into the bulk output gallery as soon as they complete. Outputs and a CSV manifest are written to /tmp/bulk_<sid>/ with stable filenames, so a ZeroGPU quota wall mid-run still leaves earlier outputs grabbable from the gallery and from disk. Logging: each image is logged individually via _spawn_log on success or failure — same code path as single/batch, so bulk shows up in the dataset with the same schema, just with extra bulk_index / bulk_total fields embedded in the PNG metadata. 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 toolcanvas_fit_mode,canvas_mode,custom_height,custom_prompt_text,custom_width,guidance_scale,input_files,lora_prompt_text,pad_color,param_16,param_17,param_18,param_19,param_20,param_21,prompt,randomize_seed,seed,selected_titles,steps,upscale_factorNot stated