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
- Draw Things
- DiffusionBee
- Xet hash:
- fc473c03b381358953b003fafee78252aa4ec795e9b9fe1ef4b8550266608cf0
- Size of remote file:
- 6.93 GB
- SHA256:
- f8f53ceee53a0fb8edea192bd9425ec96596671af83d613792da900508abbec1
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