Z Image Turbo Art DF11

--- license: apache-2.0 language: - en - zh pipeline_tag: text-to-image tags: - comfyui - diffusion-single-file base_model: - wikeeyang/Z-Image-Turbo-Art base_model_relation: quantized --- For more information (including how to compress models yourself), check out https://huggingface.co/DFloat11 and https://github.com/LeanModels/DFloat11 Feel free to request for other models for compression as well, although models whose architecture I am unfamiliar with might be slightly tricky for me. ### How to Use #### ComfyUI Install my own fork of the DF11 ComfyUI custom node: https://github.com/mingyi456/ComfyUI-DFloat11-Extended. After installing the DF11 custom node, simply replace the "Load Diffusion Model" node of an existing workflow with the "Load Diffusion Model" node. If you run into any issues, feel free to leave a comment. #### `diffusers` Refer to this [model](https://huggingface.co/mingyi456/Z-Image-Turbo-Art-DF11) instead. ### Compression Details This is the `pattern_dict` for compressing Z-Image-based models in ComfyUI: ```python pattern_dict_comfyui = { r"noise_refiner\.\d+": ( "attention.qkv", "attention.out", "feed_forward.w1", "feed_forward.w2", "feed_forward.w3", "adaLN_modulation.0" ), r"context_refiner\.\d+": ( "attention.qkv", "attention.out", "feed_forward.w1", "feed_forward.w2", "feed_forward.w3", ), r"layers\.\d+": ( "attention.qkv", "attention.out", "feed_forward.w1", "feed_forward.w2", "feed_forward.w3", "adaLN_modulation.0" ) } ```

Source context: 31 downloads · 0 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Z-Image-Turbo-Art-DF11-ComfyUI

Source context: 13 downloads · 0 likes · Pipeline text-to-image · Library diffusion-single-file · Repo mingyi456/Z-Image-Turbo-Art-DF11-ComfyUI