Instructions to use dexadeca99/codax99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dexadeca99/codax99 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-3-medium", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dexadeca99/codax99") prompt = "test" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: test
parameters:
negative_prompt: esaynegative
output:
url: images/test1.jpg
base_model: stabilityai/stable-diffusion-3-medium
instance_prompt: codax99
license: unknown
codax99

- Prompt
- test
- Negative Prompt
- esaynegative
Model description
testlora1
Trigger words
You should use codax99 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.