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:
- cbd5cff4bfa7dbc58a62200ea0bec8b9fc4034408effbbdf310d8b9006f826d7
- Size of remote file:
- 1.74 GB
- SHA256:
- a6578cad187a25ecebc9b419ace330f68933bb805e10fbf425519fc11556474c
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