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
| 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 | |
| <Gallery /> | |
| ## 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](/ApathyGhost/SynthModelGal_DMD2/tree/main) them in the Files & versions tab. | |