Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use yangchen123321/lora-trained-xl-jyz_pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yangchen123321/lora-trained-xl-jyz_pl 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-jyz_pl") prompt = "A photorealistic industrial inspection photo of a damaged high-voltage ceramic insulator. Brown glazed porcelain shows severe spalling, chipped coating, exposed white ceramic core, cracks, irregular fracture edges, and material loss on shed surfaces. Strong contrast between glossy intact glaze and rough fractured areas, with aging, weathering, dust, and electrical wear in an outdoor power transmission setting.\n" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!