Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use Docty/dreambooth-chipped-coating-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Docty/dreambooth-chipped-coating-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("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Docty/dreambooth-chipped-coating-lora") prompt = "Create an object container whose entire surface is coated with a color but a has a rough wear off coating, tear off coating or chipped off coating or peeled off coating exposing the bare uncovered metallic uncoated, sksks chip peeling, rough texture, rusted or corroded surfaces, and signs of heavy wear, realistic light to show the corroded surface, cinematic view, realistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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