Hugging Face's logo

ostris
/
emotion-sliders

Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
sad
happy
emotions
tool
slider
Model card Files Community
emotion-sliders
File size: 1,934 Bytes 
1654ee6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- sad
- happy
- emotions
- tool
- slider

base_model: runwayml/stable-diffusion-v1-5
instance_prompt: 
widget:
- text: 'close up photo of a woman with dirty blonde hair, soft box photography in a dark room, straight hair, centered in frame'
  parameters:
    negative_prompt: cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
            
  output:
    url: >-
      1800239.jpeg

---

# Emotion Sliders 

<Gallery />





## Model description

<p>I am going to add various emotion sliders here so they will all be in one place. In general, the weights will be -5 to 5, but each one may be more or less. Check versions at the top. Each one will be labeled with the emotion it affects.</p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/ostris/emotion-sliders/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('ostris/emotion-sliders', weight_name='emotion_happy_slider_v1.safetensors')
image = pipeline('close up photo of a woman with dirty blonde hair, soft box photography in a dark room, straight hair, centered in frame').images[0]
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)