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
Download checkpoint-100/optimizer.bin from igastesi/model_ohwx: direct link, hf CLI and curl.
- Browser
- Download file 6.53 MB
-
https://huggingface.co/igastesi/model_ohwx/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://igastesi/model_ohwx/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/igastesi/model_ohwx/resolve/main/checkpoint-100/optimizer.bin
6.53 MB
- Xet hash:
- 21a2d349ad486928fed39340895bd96207279b441eb1a678c8429e021d172de5
- Size of remote file:
- 6.53 MB
- SHA256:
- 7eefb85017639692f627413d38de62d73696d2adc08c677ed7557f3f617eee67
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