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", 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
- Draw Things
- DiffusionBee
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.
- Downloads last month
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Model tree for ApathyGhost/SynthModelGal_DMD2
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
RunDiffusion/Juggernaut-XL-v9