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:
- e96592d43827b265d164b569753039010b87b070615ee48313ee294427e1f484
- Size of remote file:
- 1.74 GB
- SHA256:
- 59ca29b946fd58c30c42180762d4a570a97c865db1260507674040da817a1c66
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