Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use hasarinduperera/sinha-rock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hasarinduperera/sinha-rock with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hasarinduperera/sinha-rock", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sinha rock in the Kingdom of Greece" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (a33a2c493a18ae4ae4a3ff79f5116fcf3401aa65) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>1a9ed7d
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