ImageGen

by alxander84co.huggingface.alxander84/imagegen-32

  • Remote endpoint
  • 8 tools

Tools

  • ImageGen_32_get_feature_list Get supported advanced features (LoRA, ControlNet, IPAdapter, etc.). Each feature includes ready-to-run example_chain_item and example_json_params. If feature_name is empty, returns summary of ALL features. Pass specific feature_name to retrieve complete parameters_schema.
  • ImageGen_32_get_model_architecture_list [Recommended Discovery Flow Step 2] Get a list of all supported model architectures (e.g., SD1.5, SDXL, FLUX, etc.) along with their default resolutions and available aspect ratios (with corresponding width & height). It is recommended to call this tool before get_model_list to obtain valid model_architecture parameters for precise model filtering.
  • ImageGen_32_get_model_features Query metadata for the specified model, including supported task types, extended features, default parameters, and paste-and-run example_json_params.
  • ImageGen_32_get_model_list [Recommended Discovery Flow Step 3] Query the list of available image generation models. After obtaining models, choose one of two paths: 1. [Path 1 (Recommended - Minimal Mode)] Call run directly with only required parameters. Do NOT guess steps/cfg/sampler/scheduler from experience; the server will automatically apply the model's optimal default hyperparameters. 2. [Path 2 (Explicit Alignment Mode)] First call get_model_features to query the model's officially recommended hyperparameters, then pass them to run.
  • ImageGen_32_get_sampler_scheduler_list Query all supported Sampler algorithms and Noise Schedulers available for image generation tasks.
  • ImageGen_32_get_task_list [Recommended Discovery Flow Step 1] Get a list of all supported image generation task types (txt2img, img2img, inpaint, outpaint, hires_fix) along with their required/optional parameters and paste-and-run example_json_params. Recommended flow: get_task_list -> get_model_architecture_list -> get_model_list -> run.
  • ImageGen_32_get_task_status Query the progress, status, and final generated results of an async image generation task.
  • ImageGen_32_run [Recommended Discovery Flow Step 4] Unified image generation task execution interface. Accepts a JSON string or dict of parameters. OPTIONAL CONTROL PARAMETERS: - seed (int): Random seed (-1 for random, >=0 for deterministic reproducibility). Default: -1. - batch_size (int): Number of images generated per batch (1 to 16). Default: 1. - zero_gpu_duration (int): GPU quota allocation in seconds on HuggingFace ZeroGPU spaces (default: 60). - negative_prompt (str): Text prompt specifying elements to avoid. IMPORTANT FORMAT RULES FOR 'chain': - For LoRA/Civitai: 'lora_value' refers to the Civitai Version ID (modelVersionId), not the main Model ID. Paste-and-Run Example (Basic): {"task_type": "txt2img", "model": "stabilityai/SDXL-Base-1.0", "prompt": "A majestic lion jumping from a big stone at night", "width": 1024, "height": 1024} Paste-and-Run Example (With chain): {"task_type": "txt2img", "model": "stabilityai/SDXL-Base-1.0", "prompt": "A majestic lion jumping from a big stone at night",

As the server's own listing gives them. We never call a tool.