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README.md

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+---
+base_model:
+- Wan-AI/Wan2.2-T2V-A14B
+tags:
+- text-to-video
+- lora
+widget:
+- text: >-
+    "[APPEARANCE] Nfj1nx wears a deep-cut, form-fitting black evening gown with
+    a high slit, allowing ease of movement and a striking silhouette. Her long
+    midnight-blue hair flows over one shoulder in polished waves. [ENVIRONMENT]
+    A dimly lit, smoky salon draped in shadows and flickering amber light.
+    Velvet armchairs, dark wooden décor, and heavy curtains define the
+    atmosphere. Smoke curls through the air, catching beams of light from
+    scattered wall lamps. Faint silhouettes shift in the background, hidden
+    behind haze and shadow. [CUT 1] Action: Nfj1nx stands still in the middle of
+    the salon, her pistol lowered at her side. Camera: Rapid arc shot circling
+    from her front-left to back-right at waist level. [CUT 2] Action: She raises
+    the pistol with a smooth, deliberate motion, arm fully extended and steady.
+    Camera: Fast dolly-in from floor level toward the gun, then tilting up to
+    catch her eyes."
+  output:
+    url: assets/test_00043.mp4
+---
+
+# wan 2.2 (14b T2V) HIGH noise LoRA
+
+This LoRA is very sensitive to the prompt structure. There are certain phrases that I strongly recommend including in your prompt. Like:
+- "Sequence of quick scene transitions of"
+- "The sequence of changes includes the transitions"
+
+You can find prompt examples in the attached videos.
+
+<Gallery />
+
+## Inference
+For inference I used ComfyUI.
+
+**Trigger words**: Banostasis concept, (and the phrases above)
+
+**Strength**: 0.8-1.2
+
+## Trainig details
+Trained only on videos.
+
+### HIGH noise LoRA
+- dataset: 33 videos 480x270 25,33,65,81 frame videos
+- steps: 15147
+- LR: 5e-5
+- optimizer: AdamW Optimi
+- rank: 32
+- batch size: 1
+- gradient accumulation steps: 1
+- min_t = 0.875
+- max_t = 1
+
+For training I used the diffusion-pipe repo.