Instructions to use dragiychev/Lateral-Spark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dragiychev/Lateral-Spark with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dragiychev/Lateral-Spark") prompt = "a person on a crossroads, symbolizing chaos and healing journey, lateralspark style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by dragiychev - opened
Generated example for model dragiychev/Lateral-Spark.
Prompt: A glowing close up portrait face surrounded by cascading geometric fragments and interwoven arcs symbolizes the unfolding of philosophical thought, where rigid constructs dissolve into fluid patterns of inquiry, with vibrant gradients reflecting the transition from dogma to enlightened understanding.
dragiychev changed pull request status to merged