Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use igastesi/model_ohwx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igastesi/model_ohwx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("igastesi/model_ohwx", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of ohwx open window" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7410cbbf401d275dd29e9b4be924e44fcd16a2e8b809eb9094b3fd3e4861c01a
- Size of remote file:
- 492 MB
- SHA256:
- bf6505384bd8cd112bc7f850925344151a6e7357509b0bd6bdb35c685354257e
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