Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use yangchen123321/lora-trained-xl-dx_sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yangchen123321/lora-trained-xl-dx_sg 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("yangchen123321/lora-trained-xl-dx_sg") prompt = "UAV inspection photo of a high-voltage transmission conductor: close-up aluminum stranded cable with slight strand loosening, minor spread and subtle lifting along the helical grooves. Strands remain intact—no broken wires, no missing strands, no fraying. Sharp focus on the defect, natural daylight, realistic metallic texture and reflections, high detail, shallow depth of field, blurred background, photorealistic.\n" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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