Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
concept
screaming
sad
expressions
helper
tools
toolkit
happy
emotions
realistic
angry
cry
pose
tears
real life
surprised
expression
scared
disgusted
realisticlora
tool lora
concepts
poses and concept
photograpy
expression helper
expression helper 2.0
File size: 9,339 Bytes
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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- concept
- screaming
- sad
- expressions
- helper
- tools
- toolkit
- happy
- emotions
- realistic
- angry
- cry
- pose
- tears
- real life
- surprised
- expression
- scared
- disgusted
- realisticlora
- tool lora
- concepts
- poses and concept
- photograpy
- expression helper
- expression helper 2.0
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: sad
widget:
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---
# Expression Helper 2.0
<Gallery />
## Model description
<h1 id="expression-helper-2.0-s2o2usehq">EXPRESSION HELPER 2.0</h1><p><strong>I implemented these <span style="color:rgb(230, 73, 128)">facial expressions</span> for you:</strong></p><ul><li><p>( <strong><span style="color:rgb(34, 139, 230)">sad </span></strong>)</p></li><li><p>( <strong><span style="color:rgb(18, 184, 134)">angry </span></strong>)</p></li><li><p>( <strong><span style="color:rgb(250, 82, 82)">scared</span></strong> )</p></li><li><p>( <strong><span style="color:rgb(250, 176, 5)">happy</span></strong> )</p></li><li><p>( <strong><span style="color:rgb(190, 75, 219)">surprised </span></strong>)</p></li><li><p>( <strong><span style="color:rgb(130, 201, 30)">disgusted </span></strong>)</p></li></ul><p><strong>You can use both tags and captions, both together and individually, my advice is to use the expression tag between parentheses before the caption</strong>.</p><p>You can also mark it by adding "<span style="color:rgb(250, 82, 82)">very</span>" to the expression in brackets, and with additional tags to add after the caption, such as "<span style="color:rgb(250, 176, 5)">open mouth</span>", "<span style="color:rgb(250, 176, 5)">scream</span>", "<span style="color:rgb(250, 176, 5)">smile</span>", "<span style="color:rgb(250, 176, 5)">laugh</span>", "<span style="color:rgb(250, 176, 5)">terrified</span>" etc.</p><p></p><hr /><p>A tip, when using Flux (in any case, not only with my LoRa) do not overdo it by only putting tags, tags must be used wisely and should only mark concepts that you have not managed to obtain with the caption alone.</p><p></p><p>DOES IT WORK WITH ANIME?</p><p>Quite, but it was not designed for expressions in this style, if this model is appreciated and users want it you can also make an Anime Expression Helper.</p><pre><code></code></pre><h2 id="exemples-4ba33f1ql"><strong>EXEMPLES</strong></h2><p><strong><span style="color:rgb(34, 139, 230)">SAD:</span></strong></p><ul><li><p><span style="color:rgb(34, 139, 230)">(sad), a close up of a beautiful young woman in a room with a sad expression, Her lips is twisted of sad. Her eyes were bloodshot from crying. She have red hair and freckles and is underwater (</span></p></li><li><p><span style="color:rgb(34, 139, 230)">very sad), a close up of a beautiful young woman in a room with a sad expression, Her lips is twisted of sad and she cry. She have red hair and freckles and is underwater</span></p></li><li><p><span style="color:rgb(34, 139, 230)">(very sad), a close up of a beautiful young woman in a room with a sad expression, Her mouth is open and twisted of sad. Her eyes were bloodshot from crying. is closed and tearfull. She have red hair and freckles and is underwater</span></p></li><li><p><span style="color:rgb(34, 139, 230)">(very sad), a close up of a beautiful young woman in a room with a sad expression, Her mouth is open and twisted of sad. Her eyes were bloodshot from crying is closed and tearfull. She have red hair and freckles and is underwater,scream</span></p></li></ul><p><strong><span style="color:rgb(18, 184, 134)">ANGRY:</span></strong></p><ul><li><p><span style="color:rgb(18, 184, 134)">(angry), a close up of a beautiful young woman in a room with a angry expression. She have red hair and freckles and is underwater</span></p></li><li><p><span style="color:rgb(18, 184, 134)">(very angry), a close up of a beautiful young woman in a room with a angry expression, Her mouth is open and show her teeth. She have red hair and freckles and is underwater</span></p></li></ul><p><strong><span style="color:rgb(250, 82, 82)">SCARED:</span></strong></p><ul><li><p><span style="color:rgb(250, 82, 82)">(scared), a close up of a beautiful young woman in a room with scared expression. She have red hair and freckles and is underwater.</span></p></li><li><p><span style="color:rgb(250, 82, 82)">(very scared), a close up of a beautiful young woman in a room with scared expression. She have red hair and freckles and is underwater. scream</span></p></li><li><p><span style="color:rgb(250, 82, 82)">(very scared), a close up of a beautiful young woman in a room with terrified expression. She have red hair and freckles and is underwater. scream, open mouth</span></p></li></ul><p><strong><span style="color:rgb(250, 176, 5)">HAPPY:</span></strong></p><ul><li><p><span style="color:rgb(250, 176, 5)">(happy), a close up of a beautiful young woman in a room. She have red hair and freckles and is underwater</span></p></li><li><p><span style="color:rgb(250, 176, 5)">(happy), a close up of a beautiful young woman smile in a room. She have red hair and freckles and is underwater</span></p></li><li><p><span style="color:rgb(250, 176, 5)">(very happy), a close up of a beautiful young woman laught in a room. She have red hair and freckles and is underwater</span></p></li><li><p><span style="color:rgb(250, 176, 5)">(very happy), a close up of a beautiful young woman laught in a room. She have red hair and freckles and is underwater, open mouth</span></p></li></ul><p><strong><span style="color:rgb(190, 75, 219)">SURPRISED:</span></strong></p><ul><li><p><span style="color:rgb(190, 75, 219)">(surprised), a close up of a beautiful young woman in a room with surprised expression. She have red hair and freckles and is underwater.</span></p></li><li><p><span style="color:rgb(190, 75, 219)">(very surprised), a close up of a beautiful young woman in a room with surprised expression. She have red hair and freckles and is underwater. open mouth</span></p></li></ul><p><strong><span style="color:rgb(130, 201, 30)">DISGUSTED:</span></strong></p><ul><li><p><span style="color:rgb(130, 201, 30)">(disgusted), a close up of a beautiful young woman in a room with disgusted expression. She have red hair and freckles and is underwater.</span></p></li><li><p><span style="color:rgb(130, 201, 30)">(very disgusted), a close up of a beautiful young woman in a room with disgusted expression. her mouth is distorted by the disgust she feels. She have red hair and freckles and is underwater.</span></p></li><li><p><span style="color:rgb(130, 201, 30)">(very disgusted), a close up of a beautiful young woman in a room with disgusted expression. her mouth is distorted by the disgust she feels, and her expression is grotesque. She have red hair and freckles and is underwater. open eyes</span></p></li></ul>
## Trigger words
You should use `sad `, `very sad`, `happy`, `very happy`, `angry`, `very angry`, `surprised`, `open mouth`, `scared`, `very scared`, `disgusted`, `very disgusted` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Keltezaa/expression-helper-2-0/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
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/expression-helper-2-0', weight_name='expression_helper2.0.safetensors')
image = pipeline('`sad `, `very sad`, `happy`, `very happy`, `angry`, `very angry`, `surprised`, `open mouth`, `scared`, `very scared`, `disgusted`, `very disgusted`').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)
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