Text-to-Image
Diffusers
TensorBoard
PyTorch
StableDiffusionPipeline
stable-diffusion-v2-1-base
diffusion-models-class
Instructions to use CSAle/DilbertDiffusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CSAle/DilbertDiffusion2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CSAle/DilbertDiffusion2", dtype=torch.bfloat16, device_map="cuda") prompt = "dilbert walking his dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a88ce9beadaa44c0dc578057ab3367c5aaa458bb4f1e844edbc07db16421d4d1
- Size of remote file:
- 3.46 GB
- SHA256:
- 33875e1ef6b9a90d6957574d2256f724474a08c527fc4bb91b9cf1e1f2c16e11
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