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
add gradio demo
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by akhaliq HF Staff - opened
README.md
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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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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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# Gradio
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We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run knollingcase:
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[](https://huggingface.co/spaces/akhaliq/knollingcase)
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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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