Instructions to use tarn59/pixel_art_style_lora_z_image_turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tarn59/pixel_art_style_lora_z_image_turbo 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("tarn59/pixel_art_style_lora_z_image_turbo") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/ComfyUI_00310_ (1).png
text: '-'
- output:
url: images/ComfyUI_00305_ (1).png
text: '-'
- output:
url: images/ComfyUI_00285_.png
text: '-'
- output:
url: images/ComfyUI_00282_ (1).png
text: '-'
- output:
url: images/ComfyUI_00277_.png
text: '-'
- output:
url: images/ComfyUI_00273_.png
text: '-'
- output:
url: images/ComfyUI_00268_.png
text: '-'
base_model: Tongyi-MAI/Z-Image-Turbo
instance_prompt: Pixel art style.
license: apache-2.0
Pixel Art Style
.png)
- Prompt
- -
.png)
- Prompt
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- Prompt
- -
.png)
- Prompt
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- Prompt
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- Prompt
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- Prompt
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Trigger words
You should use Pixel art style. to trigger the image generation.
Download model
Download them in the Files & versions tab.