Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use LoPPiper/model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LoPPiper/model_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LoPPiper/model_2", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of house" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bd039da42303bbd09dd0187a3ac313be6468018ff728b175fa1c0b2e1c6073e5
- Size of remote file:
- 1.74 GB
- SHA256:
- 15186d2576d79de5effc5747c39d95fcc1f3cf58ad1a28b14d8a4e4214ebe222
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.