Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use Shlomi1/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shlomi1/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shlomi1/model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a stroller" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 807e3c7ff00c050034c42ee5f2465f47b6a650deaa8f4414047e37e50fe96052
- Size of remote file:
- 492 MB
- SHA256:
- 867bc1e728af0ff8e702331286c542c4d4158d520c0cd4ce03a0ecb0475db0f2
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