Instructions to use rajkumaralma/pixar_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rajkumaralma/pixar_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rajkumaralma/pixar_style") prompt = "UNICODE\u0000\u0000p\u0000i\u0000x\u0000a\u0000r\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000g\u0000e\u0000r\u0000m\u0000a\u0000n\u0000 \u0000c\u0000h\u0000r\u0000i\u0000s\u0000t\u0000m\u0000a\u0000s\u0000 \u0000f\u0000e\u0000s\u0000t\u0000i\u0000v\u0000a\u0000l\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000P\u0000i\u0000x\u0000a\u0000r\u0000X\u0000L\u0000-\u00000\u00000\u00000\u00000\u00000\u00003\u0000:\u00001\u0000>\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Pixar Style

- Prompt
- UNICODEpixar style, german christmas festival <lora:PixarXL-000003:1>
Model description
Pixar Style
Trigger words
You should use PIXAR STYLE to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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