Instructions to use fal/Z-Image-Turbo-Control-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Z-Image-Turbo-Control-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/Z-Image-Turbo-Control-FlashPack", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update transformer/config.json
Browse files- transformer/config.json +1 -1
transformer/config.json
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{
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"_class_name": "
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"_diffusers_version": "0.36.0.dev0",
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"_name_or_path": "/home/paine/.cache/huggingface/hub/models--Tongyi-MAI--Z-Image-Turbo/snapshots/013496ad041be2e9ded1c291c00d8cc4054a6422/transformer",
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"all_f_patch_size": [
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{
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"_class_name": "ZImageControlModel",
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"_diffusers_version": "0.36.0.dev0",
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"_name_or_path": "/home/paine/.cache/huggingface/hub/models--Tongyi-MAI--Z-Image-Turbo/snapshots/013496ad041be2e9ded1c291c00d8cc4054a6422/transformer",
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"all_f_patch_size": [
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