Instructions to use falgasdev/zitfac1al with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use falgasdev/zitfac1al with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("falgasdev/zitfac1al") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from falgasdev/zitfac1al: direct link, hf CLI and curl.
- Browser
- Download file 357 Bytes
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https://huggingface.co/falgasdev/zitfac1al/resolve/main/README.md
- Command line
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hf download hf://falgasdev/zitfac1al/README.md
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curl -L -o README.md https://huggingface.co/falgasdev/zitfac1al/resolve/main/README.md
357 Bytes
