Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
science
Instructions to use rmahfuz/kldscp-pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rmahfuz/kldscp-pattern with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rmahfuz/kldscp-pattern", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of kldscp pattern as a fruit salad" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vegetable_salad_30.png from rmahfuz/kldscp-pattern: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
-
https://huggingface.co/rmahfuz/kldscp-pattern/resolve/main/vegetable_salad_30.png
- Command line
-
hf download hf://rmahfuz/kldscp-pattern/vegetable_salad_30.png
-
curl -L -o vegetable_salad_30.png https://huggingface.co/rmahfuz/kldscp-pattern/resolve/main/vegetable_salad_30.png
500 kB
