Instructions to use DoctorDiffusion/Z-Image-Turbo-PNTE-Negative-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DoctorDiffusion/Z-Image-Turbo-PNTE-Negative-LoRA 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("DoctorDiffusion/Z-Image-Turbo-PNTE-Negative-LoRA") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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- No affiliation with OpenAI.
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- Results may vary depending on sampler, CFG scale, resolution, and prompt structure.
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## Download model
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- No affiliation with OpenAI.
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- Results may vary depending on sampler, CFG scale, resolution, and prompt structure.
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- More examples coming soon.
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## Download model
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