Instructions to use Rizal684/cifar10_cnn_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rizal684/cifar10_cnn_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("eigen-ai-labs/eigen-banana-qwen-image-edit", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rizal684/cifar10_cnn_model") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
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Model tree for Rizal684/cifar10_cnn_model
Base model
eigen-ai-labs/eigen-banana-qwen-image-edit