Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use Albe/laforme_test_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Albe/laforme_test_10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Albe/laforme_test_10", dtype=torch.bfloat16, device_map="cuda") prompt = "illustration of city" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 4bfa650313ba3827e4fc413c0a6767615a95839c4996829fb7450cb1eaecb460
- Size of remote file:
- 6.88 GB
- SHA256:
- 086a74d7204e1532a0e3357abea6bc4691b190c094ca9c71b6762f65d0dfd5b3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.