Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use harveymannering/jurassic-coast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harveymannering/jurassic-coast with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("harveymannering/jurassic-coast", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of ioprt cliff with a dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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# DreamBooth model for the Isle of Portland concept trained by harveymannering on the /
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This model
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## Description
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This is a Stable Diffusion model fine-tuned on `cliff` images for the landscape theme. We used the [jurassic-coast](https://huggingface.co/datasets/harveymannering/jurassic-coast) dataset which contains 14 images of a particular cliff on the Isle of Portland on the south coast of England.
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## Examples
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# DreamBooth Hackathon model for the Isle of Portland concept trained by harveymannering on the [jurassic-coast](https://huggingface.co/datasets/harveymannering/jurassic-coast) dataset.
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The model was fine-tuned on the `cliff` prior for the landscape theme. I used the [jurassic-coast](https://huggingface.co/datasets/harveymannering/jurassic-coast) dataset which contains 14 images of a particular cliff on the Isle of Portland on the south coast of England.
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This is a Stable Diffusion model fine-tuned on the Isle of Portland (shortened to the rare token `ioprt`) concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of ioprt cliff**
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This model was created as part of the DreamBooth Hackathon 🔥. Visit the [organisation page](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!
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## Examples
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