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bf16 SafeTensor
extpose_v0.0.0-step00002000.safetensors
BF16, good balance • 16.73 MB
Verified: 17 days ago
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Jul 18, 2026
v0.0.1 Changelog
Dataset Adjustments: Out of the 100 training images, 12 images with low motion/action were removed and replaced with 12 new images featuring highly dynamic poses. This was done to raise and equalize the overall intensity of motion across the entire dataset.
Trigger Word & Captioning Changes: Replaced the Danbooru reserved tag
dynamic posewith a new custom trigger wordextpose, trained using fixed 1-caption shuffling. Additionally, all captions related to the positional descriptions of hands, arms, legs, and hips were removed.Experimental Training Configurations: Changed the training settings to test a new approach.
Previous:
dim16/alpha8, unet 1e-05 (lion8bit / constant), 100 images / 2000 stepsCurrent:
dim4/alpha8, unet 1e-04 (adamw8bit / cosine_with_restarts [2]), warmup_steps=200, 100 images / 2000 stepsNote: This configuration makes the LoRA extremely potent. Be aware that it output a high weight and may "break" your intended composition or pose.
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License:
AnimaThe Anima Model is licensed by CircleStone Labs LLC. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC 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.
Built on NVIDIA Cosmos
v0.0.0 (Initial Release) This LoRA was trained on anima-basev1 using 100 images shared under the "dynamic_pose" tag. The dataset was personally and strictly selected based on "excellent screen composition," "pronounced body twists and extended limbs," and "mid-air, Dutch angles, or non-linear character placements."
How it Works & Compatibility: When applied, characters will become "restless," actively performing mid-squats, body twists, and full limb extensions. However, if used with already fine-tuned (FT) models, it may have absolutely no effect due to overlapping training data.
Known Issues: There is a known issue where the model forgets previously learned concepts. For example, when this LoRA is active, it forgets how to hold a baseball bat, making it nearly impossible to hold a bat with both hands. (You can see this in the showcase image of the girl with the spiked bat; the left and right hands were never perfectly rendered. Without the LoRA, though reproducibility is low, it would occasionally grip the bat with a perfect set of 5 fingers).

