Instructions to use raaedk/subliminal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raaedk/subliminal 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-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("raaedk/subliminal") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Validation images auto-generated by SimpleTuner
Browse files- assets/image_0_0.png +2 -2
- assets/image_1_0.png +2 -2
assets/image_0_0.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
assets/image_1_0.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|