Z-Image-Turbo: Text to Image
An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer, supports English & Chinese.
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An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer, supports English & Chinese.
Edit images with Qwen-Image-2.1 by feeding two reference images through a single checkpoint that handles both generation and editing, then comparing the result against the original. Ideal for character-consistent edits, product cutout compositing with real transparency, and style-transfer passes at native 2K.
Pruna AI's few-step image model built on MiniMax-H3: edit the source image with a short instruction, up to 9 reference images, 8-step sampling.
Pruna AI's few-step image model built on MiniMax-H3: write a plain-language request and a local prompt upsampler expands it into a detailed scene before an 8-step sample. Pick the aspect ratio and megapixel target on the Resolution Selector to move between square, 4:3, 16:9 and portrait canvases.
Generate images from text prompts with Qwen Image 2.1, the latest open-weight Qwen-Image model, producing a single 1024×1024 image over 25 sampling steps. Generation and instruction-based editing share one model with native 2K output, professional typography, and alpha-channel support. Ideal for poster and layout design, transparent asset creation, and rapid concept visualization.
Generate images from text prompts using Krea 2, a foundation model built for aesthetic quality and creative control. It focuses on rendering expressive and artistic styles. Ideal for concept art exploration, visual brainstorming, and creating stylized imagery for design projects.
Advanced image editing with multi-image support, improved consistency, and ControlNet integration.
Edit images with Qwen-Image-2.1 by feeding two reference images through a single checkpoint that handles both generation and editing, then comparing the result against the original. Ideal for character-consistent edits, product cutout compositing with real transparency, and style-transfer passes at native 2K
Generate images from text prompts with Qwen Image 2.1 Turbo, the 8-step accelerated checkpoint, producing a single 1024×1024 image in 8 sampling steps. Same model family with native 2K output, professional typography, and alpha-channel support, plus an optional Qwen 3.5 prompt enhancer. Ideal for poster and layout design, transparent asset creation, and rapid concept visualization.
Generate a single still image from a text prompt with MiniMax H3, an omni-modal video model used here for its first-frame decode. No file inputs required: the graph samples an empty latent and decodes it through the H3 video VAE. Best suited to a single subject with a defined light source and a simple or blurred background.
Generate an image from a text prompt with MOSS-Image, an open-weights model that reads a full scene caption and returns one finished image. A prompt upsampler expands a short request into that caption first, so a one-line description is enough. Ideal for editorial photography, product shots, and concept art.
Generate an image from a text prompt with the MOSS-Image base checkpoint, which reads a full scene caption and returns one finished image. The prompt upsampler expands a short request into that caption first. Use it for fine-tuning experiments and comparisons with the instruction-tuned checkpoint.
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