Hugging Face's logo

dm-sticker
/
sdxl-turbo-lora-rabbit-sticker

Text-to-Image
Diffusers
stable-diffusion-xl-turbo
stable-diffusion-xl-turbo-diffusers
diffusers-training
lora
Model card Files Community
sdxl-turbo-lora-rabbit-sticker
File size: 1,332 Bytes 
e223bc5
 
 
 
 
 
 
 
 
 
3ce464b
 
 
 
 
 
e223bc5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
---
license: creativeml-openrail-m
library_name: diffusers
tags:
- stable-diffusion-xl-turbo
- stable-diffusion-xl-turbo-diffusers
- text-to-image
- diffusers
- diffusers-training
- lora
- stable-diffusion-xl-turbo
- stable-diffusion-xl-turbo-diffusers
- text-to-image
- diffusers
- diffusers-training
- lora
base_model: stabilityai/sdxl-turbo
inference: true
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->


# LoRA text2image fine-tuning - dm-sticker/sdxl-turbo-lora-rabbit-sticker

These are LoRA adaption weights for stabilityai/sdxl-turbo. The weights were fine-tuned on the dm-sticker/rabbit_dataset dataset. You can find some example images in the following. 

![img_0](./image_0.png)
![img_1](./image_1.png)
![img_2](./image_2.png)
![img_3](./image_3.png)


LoRA for the text encoder was enabled: False.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.


## Intended uses & limitations

#### How to use

```python
# TODO: add an example code snippet for running this diffusion pipeline
```

#### Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

## Training details

[TODO: describe the data used to train the model]