EvernightWiggle
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EvernightWiggle
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Photography

Realistic

ACG design

EvernightWiggle
EvernightWiggle
EvernightWiggle
EvernightWiggle
EvernightWiggle
EvernightWiggle

EvernightWiggle


T2V quick experience:
https://www.runninghub.ai/ai-detail/2015780374596558849/?inviteCode=rh-v1395
T2V workflow:
https://www.runninghub.ai/post/2015424907605184514/?inviteCode=rh-v1395

I2V quick experience:
https://www.runninghub.ai/ai-detail/2015778443622879234/?inviteCode=rh-v1395
I2V workflow:
https://www.runninghub.ai/post/2015342019056508929/?inviteCode=rh-v1395

Invitation Code: rh-v1395

Click the avatar in the top-right corner → Invitation Code → enter the code to get 1000 RH Coins (for 30+ image generations). You'll also get 100 Coins daily for logging in.


This model can be used for both T2V and I2V.

There is no designated separate trigger word.
For T2V: Please start with a description like "A girl is dancing the Cry0EvernWig."
For I2V: Please use a description like "Dancing the Cry0EvernWig."
For more examples, please refer to the prompts I use; they can be found in the workflow.

I included some anime materials during training, which gives the model a certain capability to handle anime-style images. However, it still tends to "realify" them, so results may vary (it involves a bit of luck).

During testing, I found that multiple samplings introduce unwanted noise into the audio. Therefore, I recommend decoding the audio after just a single sampling. For more specific details, please refer to my workflow.

For T2V:Regarding the use of multiple LoRAs in conjunction, we've achieved promising visual results so far. However, interference between audio tracks still requires further experimentation. Perhaps we need a model that excludes audio information entirely—I'm not entirely sure, though.

Crazy0range

Crazy0range

Photography

Realistic

ACG design

Model Information

Active
Model Type:
LoRA
Basic Model:
Lightricks/LTX-2
Trigger Words:
(A girl) is dancing the Cry0EvernWig;Dancing the Cry0EvernWig.
Resource Name:
models/loras/EvernightWiggle_000005000.safetensors
MD5:
a763572c2e2ba05f5e168845c2c6031c

EvernightWiggle


T2V quick experience:
https://www.runninghub.ai/ai-detail/2015780374596558849/?inviteCode=rh-v1395
T2V workflow:
https://www.runninghub.ai/post/2015424907605184514/?inviteCode=rh-v1395

I2V quick experience:
https://www.runninghub.ai/ai-detail/2015778443622879234/?inviteCode=rh-v1395
I2V workflow:
https://www.runninghub.ai/post/2015342019056508929/?inviteCode=rh-v1395

Invitation Code: rh-v1395

Click the avatar in the top-right corner → Invitation Code → enter the code to get 1000 RH Coins (for 30+ image generations). You'll also get 100 Coins daily for logging in.


This model can be used for both T2V and I2V.

There is no designated separate trigger word.
For T2V: Please start with a description like "A girl is dancing the Cry0EvernWig."
For I2V: Please use a description like "Dancing the Cry0EvernWig."
For more examples, please refer to the prompts I use; they can be found in the workflow.

I included some anime materials during training, which gives the model a certain capability to handle anime-style images. However, it still tends to "realify" them, so results may vary (it involves a bit of luck).

During testing, I found that multiple samplings introduce unwanted noise into the audio. Therefore, I recommend decoding the audio after just a single sampling. For more specific details, please refer to my workflow.

For T2V:Regarding the use of multiple LoRAs in conjunction, we've achieved promising visual results so far. However, interference between audio tracks still requires further experimentation. Perhaps we need a model that excludes audio information entirely—I'm not entirely sure, though.