<h1 id="z-image-t2i">Z-image T2I    </h1><h3 id="pixelart">PixelArt</h3>Welcome to try it out, and have fun everyone！Tell me what you think if you want!If you'd like to quickly experience the model in the cloud or refer to my workflow, check it out here. The prompts are included as well. There is more detailed information about the model if you are interested.：T2I quick experience:<a target="_blank" rel="ugc" href="https://www.runninghub.ai/ai-detail-new/2017875450126667777/?inviteCode=rh-v1395">https://www.runninghub.ai/ai-detail-new/2017875450126667777/?inviteCode=rh-v1395</a> T2I workflow:<a target="_blank" rel="ugc" href="https://www.runninghub.ai/post/2015342019056508929/?inviteCode=rh-v1395"> </a><a target="_blank" rel="ugc" href="https://www.runninghub.ai/post/2017582166745554946/?inviteCode=rh-v1395">https://www.runninghub.ai/post/2017582166745554946/?inviteCode=rh-v1395</a><h3 id="applications">Applications</h3>This model can only be used for T2I.<h3 id="trigger-word">Trigger word</h3>Not required<h3 id="workflow">Workflow</h3>Since it's a base model, I think a single sampling pass should suffice. After all, it's really too slow.Recommended Weight: 1.1 ～ 1.3Model: Base versionSteps: 50CFG: 3.0<h3 id="tips">Tips</h3>The training of this model is based on a fascinating open-source project. Feel free to check out the link if you're interested:<a target="_blank" rel="ugc" href="https://huggingface.co/DiffSynth-Studio/Z-Image-i2L">https://huggingface.co/DiffSynth-Studio/Z-Image-i2L</a>The workflow retains the I2L (Image-to-Lora) section. Feel free to experiment and train your own preferred styles.

PixelArt

Based on the open-source project: Z-Image-i2LTrained on 10 images

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