Instructions to use ApathyGhost/SynthModelGal_DMD2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ApathyGhost/SynthModelGal_DMD2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-XL-v9", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ApathyGhost/SynthModelGal_DMD2") 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:
- output:
url: images/919604284910240953.png
text: '-'
base_model: RunDiffusion/Juggernaut-XL-v9
instance_prompt: SynthModel
license: cc-by-sa-4.0
SynthGals

- Prompt
- -
Model description
Synthwave and Cyberpunk neon girlies. Bit janky, intend to have a V2 out that is much more user friendly. Start with standard-ish LCM/DMD2 settings and go from there.
With a DMD2 LORA, faces can be a bti janky without Face Restore
CFG - 1-2
Steps - 8
Sampler - LCM
Clip Skip - 2
Trigger words
You should use SynthModel to trigger the image generation.
Download model
Download them in the Files & versions tab.