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Flux Forged

16
129
79
8
Updated: Sep 6, 2024
stylefiresmokemetalflameforge
Verified:
SafeTensor
Type
LoRA
Stats
129
79
315
Reviews
Published
Sep 6, 2024
Base Model
Flux.1 D
Training
Steps: 1,500
Trigger Words
forged
red hot
glowing
molten
veins
pocked
hollow
scrollwork
flames
fire
+1 more
Hash
AutoV2
4591DFE0EA
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.

World morph to turn everything into forged metal. This is my first Lora that was worth sharing, so hope you like it.

Use:

Trigger word: forged
I got some of the best results with very limited tokens.

forged man

forged woman

forged fox

forged lion

Adding too many more novel tokens dilutes the effect. This can be countered by adding additional trained or similar tokens in somewhat equal measure.

Other keywords in the dataset:

glowing

red hot

molten

veins
scrollwork

flames

fire

smoke

hollow

polished

pocked

Others that I found can enhance the effect:
ember

brazier
wrought iron

statue - can sometimes help if you are getting too much human likeness

Shortcomings:
I relied a little too heavily on a single image I like to generate a good portion of the training set using flux ipAdapter. As a result, the backgrounds of most of the dataset are similarly blurry and green.

Training data:
I generated all the training images using flux dev and xlabs IPAdapter. Initially I used two smithing images from Pexels until I got one good image of a person. Then I used that image to generate the rest. I used my first pass at the lora to help generate a couple more images that I added to the dataset.

Personal anecdote: This is the 1500 step version. I trained to 3000, but they were overbaked. When I started the second run from 2000-3000 I saved the 1500 version as an afterthought because I knew it would get wiped out by the rolling backup. Next time I will be saving more than 5 models back. Because this is by far the best one and I almost lost it.