Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use WildPress/simba_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WildPress/simba_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/simba_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:
- ebc71fb89e6ecfa5c7bc9a97820e04d1e447fba044768064d8e1357eb5442788
- Size of remote file:
- 3.46 GB
- SHA256:
- b04354215ef90b7d5972a43c649bd93e3e374aa1080761593d1cfe8440ecb263
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