Academia
This page is auto-generated from model configurations. Last updated: 2026-07-01.
This reference lists all available Academia image generation models and their parameters. Use these parameter names when calling the Generation API.
- ERNIE Image
- ERNIE Image Turbo
- Joyai Image Edit
- Physic Edit
- Telestyle V2 Style Transfer
- Z-Image
- Z-Image Turbo
ERNIE Image
Section titled “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
Section titled “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
Section titled “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
Section titled “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. |
Telestyle V2 Style Transfer
Section titled “Telestyle V2 Style Transfer”Restyle an image with TeleStyle v2 by transferring style, material, lighting, and color from a reference while preserving the content image composition.
Model ID: model_telestyle-v2
Capabilities: img2img
LLM Markdown: https://app.scenario.com/api/models/model_telestyle-v2/markdown
| Parameter | Type | Required | Default | Min | Max | Allowed Values | Description |
|---|---|---|---|---|---|---|---|
contentImage |
file | Yes | - | - | - | - | The image you want to restyle. Its subject and composition are kept; only the look changes. |
styleImage |
file | Yes | - | - | - | - | The image whose look you want to borrow — its artistic style, materials, lighting, and colors are applied to your content image. |
resolution |
string | No | square_hd |
- | - | square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9 |
The size and shape of the result. |
loraScale |
number | No | 1 |
0 | 4 | - | How strongly the reference style is applied. Higher values push the styling harder; lower values keep more of the original look. |
useLightningLora |
boolean | No | true |
- | - | - | Adds a speed booster that generates results faster. On by default. |
lightningLoraScale |
number | No | 1 |
0 | 4 | - | How strongly the speed booster is applied. Only matters when “Use Lightning” is on. |
useContentDescription |
boolean | No | true |
- | - | - | Automatically analyzes your content image and feeds a written description into the process, which can improve how well the subject is preserved. |
useStyleDescription |
boolean | No | true |
- | - | - | Automatically analyzes your style image and feeds a written description into the process, which can improve how well the style is captured. |
negativePrompt |
string | No | - | - | - | - | Things to keep out of the result — for example, “text, watermark, blurry.” |
numInferenceSteps |
number | No | 4 |
2 | 50 | - | How many refinement passes the model makes. More steps can improve quality but take longer. |
guidanceScale |
number | No | 1 |
0 | 20 | - | How closely the result follows the model’s internal prompt. Higher values stick to it more strictly. |
acceleration |
string | No | none |
- | - | none, regular |
An optional speed boost. Regular is faster; None prioritizes quality. |
numOutputs |
number | No | 1 |
1 | 4 | - | How many images to create at once. |
seed |
number | No | - | 0 | 2147483647 | - | A number that makes results repeatable. Reusing the same seed and settings produces the same image; leave it empty for a different result each time. |
Z-Image
Section titled “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
Section titled “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 |