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
LoRA DreamBooth - Docty/dreambooth-chipped-coating-lora
These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on 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 using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for Docty/dreambooth-chipped-coating-lora
Base model
stable-diffusion-v1-5/stable-diffusion-v1-5


