Instructions to use unalkalkan/mamos-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use unalkalkan/mamos-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("unalkalkan/mamos-lora") prompt = "vince vaughn man, pixelart" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Mamos LoRa

- Prompt
- vince vaughn man, pixelart
Trigger words
You should use vince vaughn man 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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Model tree for unalkalkan/mamos-lora
Base model
stabilityai/stable-diffusion-xl-base-1.0