Academia
This page is auto-generated from model configurations. Last updated: 2026-04-25.
This reference lists all available Academia image generation models and their parameters. Use these parameter names when calling the Generation API.
ERNIE Image
Baidu ERNIE-Image (SFT) — strong instruction following, text rendering, and layout-aware generation; ~50 inference steps with optional prompt enhancer.
Model ID: model_ernie-image
Capabilities: txt2img
LLM Markdown: https://app.scenario.com/api/models/model_ernie-image/markdown
| Parameter | Type | Required | Default | Min | Max | Allowed Values | Description |
|---|---|---|---|---|---|---|---|
prompt | string | Yes | - | - | - | - | Text prompt for image generation. |
numOutputs | number | No | 1 | 1 | 4 | - | Number of images to generate. |
width | number | No | 1024 | 64 | 2048 | - | Width of the generated image. Recommended sizes are listed in presets. |
height | number | No | 1024 | 64 | 2048 | - | Height of the generated image. Recommended sizes are listed in presets. |
numInferenceSteps | number | No | 50 | 1 | 100 | - | Number of denoising steps. The SFT model is tuned for ~50 steps. |
guidanceScale | number | No | 4 | 0 | 20 | - | Classifier-free guidance scale. |
usePe | boolean | No | true | - | - | - | Expand short prompts into richer descriptions (recommended on the model card). |
seed | number | No | - | - | - | - | Random seed for reproducible generation. |
ERNIE Image Turbo
Baidu ERNIE-Image-Turbo — fast ~8-step generation with optional prompt enhancer (guidance fixed in the deployment).
Model ID: model_ernie-image-turbo
Capabilities: txt2img
LLM Markdown: https://app.scenario.com/api/models/model_ernie-image-turbo/markdown
| Parameter | Type | Required | Default | Min | Max | Allowed Values | Description |
|---|---|---|---|---|---|---|---|
prompt | string | Yes | - | - | - | - | Text prompt for image generation. |
numOutputs | number | No | 1 | 1 | 4 | - | Number of images to generate. |
width | number | No | 1024 | 64 | 2048 | - | Width of the generated image. Recommended sizes are listed in presets. |
height | number | No | 1024 | 64 | 2048 | - | Height of the generated image. Recommended sizes are listed in presets. |
usePe | boolean | No | true | - | - | - | Expand short prompts into richer descriptions (recommended on the model card). |
seed | number | No | - | - | - | - | Random seed for reproducible generation. |
Joyai Image Edit
All-in-one image editing model with strong visual understanding for precise natural language edits.
Model ID: model_joyai-image-edit
Capabilities: img2img
LLM Markdown: https://app.scenario.com/api/models/model_joyai-image-edit/markdown
| Parameter | Type | Required | Default | Min | Max | Allowed Values | Description |
|---|---|---|---|---|---|---|---|
prompt | string | Yes | - | - | - | - | The edit instruction describing what changes to make to the image. |
image | file | Yes | - | - | - | - | Input image to edit. |
negativePrompt | string | No | - | - | - | - | Text describing what should not appear in the output image. |
numInferenceSteps | number | No | 30 | 1 | 50 | - | Number of denoising steps. |
cfgScale | number | No | 5 | 1 | 15 | - | Controls how closely the output follows the edit instruction. |
seed | number | No | - | 0 | 2147483647 | - | Random seed for reproducibility. |
Physic Edit
Physics-aware image editing with realistic refraction, material changes, and deformations.
Model ID: model_physic-edit
Capabilities: img2img
LLM Markdown: https://app.scenario.com/api/models/model_physic-edit/markdown
| Parameter | Type | Required | Default | Min | Max | Allowed Values | Description |
|---|---|---|---|---|---|---|---|
image | file | Yes | - | - | - | - | Input image to edit with physics-aware transformations. |
prompt | string | Yes | - | - | - | - | Editing instructions describing the physical transformation to apply. |
negativePrompt | string | No | - | - | - | - | Description of unwanted elements in the output. |
numInferenceSteps | number | No | 40 | 1 | 50 | - | Number of denoising steps. |
cfgScale | number | No | 4 | 1 | 20 | - | Classifier-free guidance scale. |
seed | number | No | - | 0 | 2147483647 | - | Random seed for reproducibility. |
Z-Image
Z-Image - Highest quality text-to-image and image-to-image generation
Model ID: model_z-image
Capabilities: txt2img, img2img, controlnet
LLM Markdown: https://app.scenario.com/api/models/model_z-image/markdown
| Parameter | Type | Required | Default | Min | Max | Allowed Values | Description |
|---|---|---|---|---|---|---|---|
modelId | model | No | - | - | - | - | A single LoRA model ID. If provided, it will be added to the loras array. |
loras | model_array | No | `` | - | - | - | List of one or more LoRA model IDs. If modelId is a LoRA and this is not provided, it will be automatically populated with the modelId. |
lorasScale | number_array | No | - | 0 | 2 | - | Scales for the LoRA weights |
prompt | string | Yes | - | - | - | - | Text prompt for image generation |
negativePrompt | string | No | - | - | - | - | Text prompt for what to avoid in the image |
image | file | No | - | - | - | - | Source image for img2img transformation |
strength | number | No | 0.6 | 0 | 1 | - | How much to transform the reference image. 0 means no change, 1 means complete transformation |
controlImage | file_array | No | - | - | - | - | Control images to use as input (edge, depth, or pose) |
controlnetConditioningScale | number | No | 0.75 | 0 | 1 | - | The scale of the controlnet conditioning |
numOutputs | number | No | 4 | 1 | 4 | - | Number of images to generate |
numInferenceSteps | number | No | 28 | 1 | 100 | - | Number of inference steps. |
width | number | No | - | 128 | 2048 | - | The width of the generated images, must be a multiple of 16 |
height | number | No | - | 128 | 2048 | - | The height of the generated images, must be a multiple of 16 |
guidance | number | No | 5 | 1 | 10 | - | Controls how closely the generated image follows the prompt |
seed | number | No | - | 0 | 2147483647 | - | Used to reproduce previous results |
Z-Image Turbo
Z-Image Turbo - Fast text-to-image and image-to-image generation model
Model ID: model_z-image-turbo
Capabilities: txt2img, img2img, controlnet
LLM Markdown: https://app.scenario.com/api/models/model_z-image-turbo/markdown
| Parameter | Type | Required | Default | Min | Max | Allowed Values | Description |
|---|---|---|---|---|---|---|---|
modelId | model | No | - | - | - | - | A single LoRA model ID. If provided, it will be added to the loras array. |
loras | model_array | No | `` | - | - | - | List of one or more LoRA model IDs. If modelId is a LoRA and this is not provided, it will be automatically populated with the modelId. |
lorasScale | number_array | No | - | 0 | 2 | - | Scales for the LoRA weights |
prompt | string | Yes | - | - | - | - | Text prompt for image generation |
negativePrompt | string | No | - | - | - | - | Text prompt for what to avoid in the image |
image | file | No | - | - | - | - | Source image for img2img transformation. Cannot be used with ControlNet. |
strength | number | No | 0.75 | 0 | 1 | - | How much to transform the reference image. 0 means no change, 1 means complete transformation |
controlImage | file_array | No | - | - | - | - | Control images to use as input (edge, depth, or pose). Cannot be used with Reference Image. |
controlnetConditioningScale | number | No | 0.7 | 0 | 1 | - | The scale of the controlnet conditioning |
numOutputs | number | No | 4 | 1 | 4 | - | Number of images to generate |
numInferenceSteps | number | No | 9 | 1 | 100 | - | Number of inference steps. |
width | number | No | - | 128 | 2048 | - | Width of the generated image |
height | number | No | - | 128 | 2048 | - | Height of the generated image |
seed | number | No | - | 0 | 2147483647 | - | Used to reproduce previous results |
Updated 1 day ago