Instructions to use Aybeeceedee/knollingcase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aybeeceedee/knollingcase with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Aybeeceedee/knollingcase", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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### knollingcase Dreambooth model trained by Aybeeceedee with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
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Use 'knollingcase' anywhere in the prompt and you're good to go.
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### knollingcase Dreambooth model trained by Aybeeceedee with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
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UPDATE: The images on the following imgur link were all made just using 'knollingcase' as the main prompt, then letting the Dynamic Prompt add-on for AUTOMATIC1111 fill in the rest! There's some beauty's in here if you have a scroll through!
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https://imgur.com/gallery/MQtdkv5
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Use 'knollingcase' anywhere in the prompt and you're good to go.
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