Sign In
home
models
images
videos
posts
articles
bounties
events
shop

Aesthetic Amateur Photo [Flux Dev]

377
5.8k
3.2k
206
Updated: Sep 14, 2024
stylephotorealistic
tmp_23eks7v.png
tmp32c4mar8.png
tmpm3vclx_c.png
tmpjarqwqe5.png
tmpqdoca420.png
tmpvhzlso_c.png
tmp77lod8vg.png
tmpap99yp1t.png
Verified:
SafeTensor
Type
LoRA
Stats
597
678
Reviews
(85)
Published
Aug 31, 2024
Base Model
Flux.1 D
Hash
AutoV2
B1AA11AAE4
default creator card background decoration
powerpuff's Avatar
powerpuff
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.
tmp_23eks7v.png
tmp32c4mar8.png
tmpm3vclx_c.png
tmpjarqwqe5.png
tmpqdoca420.png
tmpvhzlso_c.png
tmp77lod8vg.png
tmpap99yp1t.png

Yet another amateur photo LoRA to improve the realism of Flux.

V4 Beta 2:

Trained on more images.

V4 Beta 1:

I have started to create a completely new dataset with only high quality images. For Beta 1 I used 111 images, though I plan to significantly increase it for Beta 2. All images only have the caption "43stet1c", but it isn't needed to mention it in your prompt.

This combination seems to produce the best and most consistent results so far.

Increase the strength if the effect isn't strong enough.

V3:

Same dataset as V2 but completely recaptioned with Claude 3.5 Sonnet and upscaled to 1024 with Gigapixel.

V2:

Trained on 124 images with no captions at all. Let me know if this works better than V1. Results can be inconsistent, use HiRes fix and Beta scheduler.

V1:

This was trained on a dataset of 61 "aesthetic" images captioned with Claude 3.5 Sonnet.