Iridescent Jellyfish

Iridescent Jellyfish is a Dreambooth model for the iridescent jellyfish concept (represented by the ðŁĴŁ identifier). It applies to the animal theme. It is fine-tuned from runwayml/stable-diffusion-v1-5 checkpoint on a small dataset of jellyfish images. It can be used by modifying the instance_prompt: a photo of a ðŁĴŁ jellyfish in the snow

This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!

Fine-Tuning Details

• Number of training images: 17
• Learning rate: 2e-06
• Training steps: 800
• Guidance Scale: 7
• Inference Steps: 50

Output Examples

<table> <tr> <td>a oil painting of a <b>ðŁĴŁ</b> jellyfish</td> <td>a photo of a <b>ðŁĴŁ</b> jellyfish next to a dog</td> <td>a photo of a <b>ðŁĴŁ</b> jellyfish in the snow</td> </tr> <tr> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(4).png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(5).png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(6).png" style="height:200px"> </td> </tr> <tr> <td>a photo of a <b>ðŁĴŁ</b> jellyfish on top of a mountain</td> <td>a photo of a <b>ðŁĴŁ</b> jellyfish in the sky</td> <td>a photo of a <b>ðŁĴŁ</b> jellyfish</td> </tr> <tr> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(7).png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(8).png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(9).png" style="height:200px"> </td> </tr> <tr> <td>a photo of a <b>ðŁĴŁ</b> jellyfish skydiving</td> <td>a photo of a <b>ðŁĴŁ</b> jellyfish sutfing on a surfboard</td> <td>a photo of a choclate <b>ðŁĴŁ</b> jellyfish</td> </tr> <tr> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(10).jpg" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(11).jpg" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(12).jpg" style="height:200px"> </td> </tr> <tr> <td>a photo of a <b>ðŁĴŁ</b> jellyfish shooting fireworks in the sky</td> <td>a photo of a <b>ðŁĴŁ</b> jellyfish on rollerblades</td> <td>a photo of a <b>ðŁĴŁ</b> jellyfish in a beer bottle</td> </tr> <tr> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(13).jpg" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(14).jpg" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(15).jpg" style="height:200px"> </td> </tr> <tr> <td>a colorful sketch of a <b>ðŁĴŁ</b> jellyfish</td> <td>a photo of a <b>ðŁĴŁ</b> jellyfish in the jungle</td> <td>a mystic <b>ðŁĴŁ</b> jellyfish, trending on artstation</td> </tr> <tr> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(1).png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(2).png" style="height:200px"> </td> <td align="center"><img src="https://huggingface.co/simonschoe/iridescent-jellyfish/resolve/main/output/jelly%20(3).png" style="height:200px"> </td> </tr> </table>

Usage

from diffusers import StableDiffusionPipeline
import torch

device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
pipeline = StableDiffusionPipeline.from_pretrained('simonschoe/iridescent-jellyfish').to(device)

prompt = "a photo of a ðŁĴŁ jellyfish in the snow"

image = pipeline(
    prompt,
    num_inference_steps=50,
    guidance_scale=7,
    num_images_per_prompt=1
).images[0]

image