Instructions to use mpolom/workshop-lora-pixel-monsters-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mpolom/workshop-lora-pixel-monsters-example 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("mpolom/workshop-lora-pixel-monsters-example") prompt = "whale, water, dq_pookie" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/workshop-lora-pixel-monsters-example.png
text: whale, water, dq_pookie
base_model: stabilityai/stable-diffusion-xl-base-1.0
datasets:
- pookie3000/pookie-pixel-1024
instance_prompt: dq_pookie
license: mit
LoRA worhshop - Pixel Monsters example

- Prompt
- whale, water, dq_pookie
Trigger words
You should use dq_pookie to trigger the image generation.
Download model
Download them in the Files & versions tab.