Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use Docty/dreambooth-chipped-coating with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Docty/dreambooth-chipped-coating with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Docty/dreambooth-chipped-coating", dtype=torch.bfloat16, device_map="cuda") prompt = "Create a container whose entire surface is sksks coated with a color but a has a sksks wear off coating, sksks tear off coating, sksks chipped off coating or sksks peeled off coating exposing the bare uncovered metallic uncoated, sksks chip peeling, rusted, sksks surfaces, sksks wear, cinematic view, realistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee