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:
- 73e7c739a5f3d9aeb7e259f22eb0fafef94f29799fc871894efdab79403f80b2
- Size of remote file:
- 1.74 GB
- SHA256:
- 60db831437532b63c6e8bd2fd7192d7c96d58f2dd1316ceaea2f110691323cc2
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