Instructions to use kooookook1gmailcom/tjsgjsgj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kooookook1gmailcom/tjsgjsgj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kooookook1gmailcom/tjsgjsgj") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/1000031991.jpg
base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
instance_prompt: https://github.com/
license: apache-2.0
jshsbdb

- Prompt
- -
Model description
Trigger words
You should use https://github.com/ to trigger the image generation.
Download model
Download them in the Files & versions tab.
