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bundled_utility_z_image_turbo_2k_upscaler_json

Upscale input images to 2K resolution using a turbo model and RealESRGAN upscaler. Configure prompts, denoise, and scale factor for refined results.

Instructions

Comfy image generation workflow utility_z_image_turbo_2k_upscaler.json

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
p_Noqwen-2512_00018_.png [output]
cfgNo
seedNo
typeNolumina2
shiftNo
stepsNo
denoiseNo
scale_byNo
vae_nameNoae.safetensors
clip_nameNoqwen_3_4b.safetensors
schedulerNobeta
unet_nameNoz_image_turbo_bf16.safetensors
megapixelsNo
model_nameNoRealESRGAN_x4plus.safetensors
output_dirNo
sampler_nameNodpmpp_2m_sde
submit_batchNo
weight_dtypeNodefault
batch_by_timeNo
filename_prefixNoz-image-upscaled
p___upscale_methodNolanczos
CLIP_Text_Encode_Negative_Prompt___textNo
CLIP_Text_Encode_Positive_Prompt___textNomasterpiece, 8k
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, and the description provides no behavioral context whatsoever—no mention of side effects, permissions, or operational behavior. The agent has zero insight beyond the tool's name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short but at the expense of information. It is not concise in a useful way; it is merely underspecified.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 23 parameters, no output schema, and no annotations, the description is grossly insufficient to enable correct tool selection or invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any of the 23 parameters. Parameter names like 'p_', 'cfg', 'seed' are opaque without additional context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description simply repeats the tool name ('Comfy image generation workflow utility_z_image_turbo_2k_upscaler.json'), which is a tautology. It does not state a specific verb or resource, making the tool's purpose completely unclear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus its siblings (e.g., bundled_image_z_image_turbo_json). There is no context about appropriate scenarios or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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