Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use LoPPiper/model.ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LoPPiper/model.ckpt 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.ckpt", 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:
- 8ad2c270be7e632ff5a3a406ac6240262a60dc8be5f5336b0f29548a2894c935
- Size of remote file:
- 1.74 GB
- SHA256:
- 7200c31aaa7171bcc0c08f8f017ce60eb7afae224dd49523595f449419de7575
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