File size: 4,976 Bytes
44f52fe 3e4141d 44f52fe 53b00c0 44f52fe 53b00c0 44f52fe 53b00c0 44f52fe 53b00c0 44f52fe 53b00c0 44f52fe 53b00c0 1c22f62 53b00c0 44f52fe 53b00c0 44f52fe |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 |
---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
widget:
- text: a photo of a ðŁĴŁ jellyfish in the snow
- text: a photo of a ðŁĴŁ jellyfish next to a dog
- text: a photo of a ðŁĴŁ jellyfish on top of a mountain
---
# 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](https://huggingface.co/dreambooth-hackathon) 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
```python
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
```
|