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", torch_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:
- 6b3ad1fc171d290a125f769e834d00ed038e0403c976002b0fbbc39a0a1ef958
- Size of remote file:
- 335 MB
- SHA256:
- 5ab71b16a12ca695078ca85e7aba94f1b1de477f38b10da47e4743d126371bae
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