Instructions to use duja1/m123ugg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use duja1/m123ugg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("duja1/m123ugg", dtype=torch.bfloat16, device_map="cuda") prompt = "m123ugg" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload concept_images with huggingface_hub
Browse files- concept_images/m123ugg_(1).jpg +0 -0
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- concept_images/m123ugg_(7).jpg +0 -0
- concept_images/m123ugg_(8).jpg +0 -0
- concept_images/m123ugg_(9).jpg +0 -0
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