Z-Image: Undistilled S3-DiT Foundation Model for Professional Generation

Access the full power of Z-Image. Unlike distilled versions, this single-stream diffusion transformer offers maximum creative freedom, supporting negative prompting, high aesthetic diversity, and seamless LoRA integration.

Image Model(*)

Output Quality:

medium

high

Upload Image (Up to 9)

Prompt(*)

0/2000

Image Style

The generated image will appear here.

You can view your photos from the "My Creations" menu.

Professional Control with Full CFG & Negative Prompts

Take command of your creative workflow. Z-Image supports full Classifier-Free Guidance (CFG) and robust negative prompting, features often missing in distilled models. This allows for precise prompt adherence, enabling you to reliably suppress artifacts, adjust composition, and fine-tune the intensity of your generated visuals.

High-Variance Output & Distinct Identities

Break free from the 'model collapse' and homogenization seen in other generators. Z-Image is trained to maintain high output variance across different seeds, ensuring that multi-subject scenes feature distinct facial identities rather than 'clone faces.' Whether generating anime or photorealism, every iteration offers fresh, dynamic creativity.

The Ultimate Foundation for LoRA & Fine-Tuning

Built for the community, Z-Image is the ideal backbone for training custom models. Its undistilled nature and training stability make it fully compatible with LoRA, ControlNet, and Z-Image-i2L workflows. Developers and artists can easily adapt the model to specific artistic styles or brand requirements without losing core quality.

Broad Aesthetic Versatility

From cinematic digital art and intricate illustrations to hyper-realistic photography, Z-Image masters a vast spectrum of visual languages. Trained via Supervised Fine-Tuning (SFT), it understands complex aesthetic nuance, making it the perfect engine for creators requiring rich, multi-dimensional expression beyond simple snapshots.

Undistilled S3-DiT Architecture for Maximum Fidelity

Leverage the raw power of the Scalable Single-Stream Diffusion Transformer (S3-DiT). As a non-distilled foundation model, Z-Image preserves the complete training signal, delivering superior visual details and texture rendering compared to Turbo variants. It strikes the perfect balance between parameter efficiency and high-resolution output quality.

Professional Scenarios for High-Fidelity Creation

Z-Image is designed for creators who need more than just a quick snapshot. Leverage the undistilled S3-DiT architecture for workflows requiring precise control, style consistency, and training stability.

Bespoke Model Training (LoRA)

Use Z-Image as the ideal stable foundation to train your own Style LoRAs or ControlNets. Its non-distilled architecture preserves full training signals, ensuring your custom models retain high visual fidelity.

Sequential Art & Comics

Solve the 'same face' problem in storytelling. Z-Image's high output variance allows you to generate multi-subject scenes with distinct identities, making it perfect for graphic novels and storyboards where characters must look unique.

Architectural Visualization

Achieve photorealism with strict control. Use Negative Prompting to cleanly remove unwanted artifacts or clutter, and rely on the model's advanced lighting understanding to render interior and exterior spaces accurately.

High-End Fashion Design

Visualize complex fabric textures and intricate patterns. The model's SFT (Supervised Fine-Tuning) training balances aesthetic beauty with realistic material physics, ideal for fashion prototyping and mood boards.

Stock Photography Replacement

Generate diverse, high-resolution stock images that don't look generic. Because Z-Image offers high variance across seeds, you can produce a wide array of compositions and demographics without the 'homogenized AI look.'

Concept Art with Precise Vibe

Dial in the exact mood using Classifier-Free Guidance (CFG). Unlike Turbo models, Z-Image lets you adjust how strictly the image adheres to your prompt, giving concept artists the flexibility to explore abstract ideas or strict directives.

Mastering Z-Image: The Professional Workflow

Step 1

Define & Constrain

Enter your main positive prompt to describe the scene. Crucially, utilize the 'Negative Prompt' field to list what you want to exclude (e.g., 'blurry, low quality, artifacts'), ensuring a clean, professional output.

Step 2

Fine-Tune Guidance

Adjust the 'Guidance Scale' (CFG). Set it lower (3.0) for more creative freedom or higher (5.0) for strict prompt adherence. Set inference steps between 28-50 for maximum detail rendering.

Step 3

Iterate with Seeds

Click 'Generate.' If the composition isn't perfect, change the random seed. Z-Image provides high diversity between seeds, allowing you to explore multiple variations of the same concept without changing your prompt.