--- license: apache-2.0 datasets: - LucidityAI/meisho-sft tags: - image-generation --- # Meisho-S1-Preview A Meisho S1 Preview is a generalist image-generation model based on [Tongyi-MAI/Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image), finetuned on our [LucidityAI/meisho-sft dataset](https://huggingface.co/LucidityAI/meisho-sft) Compared to it's base model, Meisho-S1-Preview handles areas like typography better, while having regressions in other places (see limitations), which we aim to resolve and surpass the base-model at in a later version, whether it be in a second version of a preview or the final S1 version, among the possibility of splitting Meisho into flash and pro versions, like our Synth 2.5 family. ## Usage You may use Meisho S1 Preview like so: ```python import torch from diffsynth.pipelines.z_image import ZImagePipeline, ModelConfig pipe = ZImagePipeline.from_pretrained( torch_dtype=torch.bfloat16, device="cuda", model_configs=[ ModelConfig(path=["/transformer/diffusion_pytorch_model-00001-of-00002.safetensors", "/transformer/diffusion_pytorch_model-00002-of-00002.safetensors"]), ModelConfig(path=["/text_encoder/model-0000{}-of-00003.safetensors".format(i) for i in (1,2,3)]), ModelConfig(path="/vae/diffusion_pytorch_model.safetensors"), ], tokenizer_config=ModelConfig(path="LucidityAI/Meisho-S1-Preview/tokenizer"), ) image = pipe( prompt="...", seed=1234, rand_device="cuda", num_inference_steps=50, cfg_scale=4.0, height=1024, width=1024, ) ``` Recommended settings: `num_inference_steps=50`, `cfg_scale=4.0`, 1024×1024. This is a non-distilled base model, so it needs the full step count, unlike Z-Image-Turbo. ## Examples ## Limitations The preview version of Meisho-S1 struggles with: - Detail - Clothing - Photorealistic people ## Examples of Limitations