Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use Upamanyu098/dreambooth-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Upamanyu098/dreambooth-dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Upamanyu098/dreambooth-dog", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of zxc dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| name: Build PR Documentation | |
| on: | |
| pull_request: | |
| paths: | |
| - "src/diffusers/**.py" | |
| - "examples/**" | |
| - "docs/**" | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} | |
| cancel-in-progress: true | |
| jobs: | |
| build: | |
| uses: huggingface/doc-builder/.github/workflows/build_pr_documentation.yml@main | |
| with: | |
| commit_sha: ${{ github.event.pull_request.head.sha }} | |
| pr_number: ${{ github.event.number }} | |
| install_libgl1: true | |
| package: diffusers | |
| languages: en ko zh ja pt | |