Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use WildPress/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WildPress/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WildPress/model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of simbimbi cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2ca93a60a086f42ec5fc5c8c591d43f7317bc1d4285664225cbb7e2d26a96507
- Size of remote file:
- 3.46 GB
- SHA256:
- 2818c59d22bd4333a666a66cb2100bad5304707d349d5ce07aa69efd6794fade
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