Instructions to use Shinhati2023/Microcreator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shinhati2023/Microcreator 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("Shinhati2023/Microcreator") prompt = "A beautiful women wearing glasses." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: A beautiful women wearing glasses.
output:
url: images/_b6e1a874-4e8d-43eb-8bc0-83f3bfc182cb.jpeg.jpg
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
license: bigscience-openrail-m
Microcreator

- Prompt
- A beautiful women wearing glasses.
Model description
A version of my power
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.