Instructions to use liming518/ZITfixedflat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/ZITfixedflat 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("liming518/ZITfixedflat") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload 2 files
Browse files- README.md +19 -0
- flat.safetensors +3 -0
README.md
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- output:
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url: images/0000_00002_.png
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text: '-'
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base_model: Tongyi-MAI/Z-Image-Turbo
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instance_prompt: null
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---
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lora from civitai
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flat.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:719bd6bae7957f77e3bbba09435f62fe7da44d66fde69c63756f9d46268b0f40
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size 11342080
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