Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use wittenberg/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wittenberg/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("wittenberg/model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of cartoon girl face" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dafcde94937c5fd342fe052b414b509cbf1195c369561f04a53ba50dcd45e7be
- Size of remote file:
- 1.73 GB
- SHA256:
- 641a01f7f74605313207e06ac5d7f0535bed3e1e54c0c1a59308223020e67a06
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