Instructions to use Cole4444/Moji_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cole4444/Moji_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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Cole4444/Moji_Lora") prompt = "moji_dog" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Emoji Lora

- Prompt
- moji_dog
Model description
Moji is a lora for sdxl 1.0 that generates emoji style images from a text description.
When using the model, add the trigger word "moji", and use '_' in place of spaces. The model is not perfect and more unrealistic of a description provided the less predictable the output.
Trigger words
You should use moji to trigger the image generation.
Download model
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Model tree for Cole4444/Moji_Lora
Base model
stabilityai/stable-diffusion-xl-base-1.0