Instructions to use DataWhizmadaan/CNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DataWhizmadaan/CNN with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DataWhizmadaan/CNN") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 91af8ffff73c505b0823165162c43a0be858058f650d26cb31ae0c22ce3b5ce8
- Size of remote file:
- 94.5 MB
- SHA256:
- d67a1b84159c8e884e677da62a8f8fdd78b4ba67791f5fc92a55eff5d068309f
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