Instructions to use NAB1108/BITS_ClockTower with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NAB1108/BITS_ClockTower with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NAB1108/BITS_ClockTower", 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
Updated README.md
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README.md
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license: creativeml-openrail-m
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pipeline_tag: text-to-image
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license: creativeml-openrail-m
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pipeline_tag: text-to-image
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# BITS Pilani Clock Tower Model by Nitin Birur
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<!-- Provide a quick summary of what the model is/does. -->
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This is a Stable Diffusion model fine-tuned on the iconic BITS Pilani Clock Tower. It can be used by modifying the instance_prompt: bitsclck tower
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## Model Details
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### Model Description
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Use the BITS Pilani Clock Tower in any image.
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- **Developed by:** Nitin Birur
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