Instructions to use Pltrinh1122/bi-directional-lighting-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pltrinh1122/bi-directional-lighting-lora 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Pltrinh1122/bi-directional-lighting-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Pltrinh1122/bi-directional-lighting-lora")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Lighting LoRA for SDXL
This LoRA provides enhanced lighting control for Stable Diffusion XL.
Usage
from diffusers import StableDiffusionXLPipeline
import torch
pipe = StableDiffusionXLPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16)
pipe.load_lora_weights("pltrinh1122/bi-directional-lighting-lora")
Parameters
primary_light: Controls primary light intensity (0.0-1.0)secondary_light: Controls secondary light intensity (0.0-1.0)
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Model tree for Pltrinh1122/bi-directional-lighting-lora
Base model
stabilityai/stable-diffusion-xl-base-1.0