Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Aminrabi/diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aminrabi/diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Aminrabi/diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download .github/workflows/upload_pr_documentation.yml from Aminrabi/diffusers: direct link, hf CLI and curl.
- Browser
- Download file 383 Bytes
-
https://huggingface.co/Aminrabi/diffusers/resolve/main/.github/workflows/upload_pr_documentation.yml
- Command line
-
hf download hf://Aminrabi/diffusers/.github/workflows/upload_pr_documentation.yml
-
curl -L -o upload_pr_documentation.yml https://huggingface.co/Aminrabi/diffusers/resolve/main/.github/workflows/upload_pr_documentation.yml
383 Bytes
| name: Upload PR Documentation | |
| on: | |
| workflow_run: | |
| workflows: ["Build PR Documentation"] | |
| types: | |
| - completed | |
| jobs: | |
| build: | |
| uses: huggingface/doc-builder/.github/workflows/upload_pr_documentation.yml@main | |
| with: | |
| package_name: diffusers | |
| secrets: | |
| hf_token: ${{ secrets.HF_DOC_BUILD_PUSH }} | |
| comment_bot_token: ${{ secrets.COMMENT_BOT_TOKEN }} | |