Instructions to use freQuensy23/diffusion-cloody with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use freQuensy23/diffusion-cloody with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("freQuensy23/diffusion-cloody", dtype=torch.bfloat16, device_map="cuda") prompt = "A [V] cat swimming" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Model trained using [dream booth](https://dreambooth.github.io/) on [clooody-cat](https://huggingface.co/datasets/freQuensy23/cloody-cat) dataset
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##
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Model trained using [dream booth](https://dreambooth.github.io/) on [clooody-cat](https://huggingface.co/datasets/freQuensy23/cloody-cat) dataset
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## Train visualisation
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