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
- Draw Things
- DiffusionBee
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Browse files- checkpoints.zip +3 -0
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checkpoints.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:d67a1b84159c8e884e677da62a8f8fdd78b4ba67791f5fc92a55eff5d068309f
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size 94462143
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images/animation.gif
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Git LFS Details
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