Publish Black Magic model card, workflow, and examples

.gitattributes

@@ -33,3 +33,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+examples/back-poi.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/dance-couple.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/firepit-house.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/men-snow.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/monkey.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/owl.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/poi-festival.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/porcupine.mp4 filter=lfs diff=lfs merge=lfs -text
+examples/tiger.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -2,4 +2,203 @@
 license: other
 license_name: ltx-2-community-license
 license_link: https://github.com/Lightricks/LTX-2/blob/main/LICENSE
+base_model:
+- Lightricks/LTX-2.3
+base_model_relation: adapter
+pipeline_tag: video-to-video
+library_name: diffusers
+language:
+- en
+tags:
+- ltx-video
+- ltx-2.3
+- ic-lora
+- low-light
+- shadow-reconstruction
+- generative-video
+- vfx
+- lighting
+widget:
+- text: >-
+    Restore this underexposed video to a natural, well-exposed version with
+    realistic colors and recovered shadow detail. A woman performs poi fire dancing. She has her back to the camera and is facing an audience.
+  output:
+    url: examples/back-poi.mp4
+- text: >-
+    Restore this underexposed video to a natural, well-exposed version with
+    realistic colors and recovered shadow detail. A man and woman dance at a nightclub.
+  output:
+    url: examples/dance-couple.mp4
+- text: >-
+    Restore this underexposed video to a natural, well-exposed version with
+    realistic colors and recovered shadow detail. A fire pit in front of a house in the forest.
+  output:
+    url: examples/firepit-house.mp4
+- text: >-
+    Restore this underexposed video to a natural, well-exposed version with
+    realistic colors and recovered shadow detail. Three men in a snowy field.
+  output:
+    url: examples/men-snow.mp4
+- text: >-
+    Restore this underexposed video to a natural, well-exposed version with
+    realistic colors and recovered shadow detail. A monkey eats corn on the cob.
+  output:
+    url: examples/monkey.mp4
+- text: >-
+    Restore this underexposed video to a natural, well-exposed version with
+    realistic colors and recovered shadow detail. An owl in the forest.
+  output:
+    url: examples/owl.mp4
+- text: >-
+    Restore this underexposed video to a natural, well-exposed version with
+    realistic colors and recovered shadow detail.
+  output:
+    url: examples/poi-festival.mp4
+- text: >-
+    Restore this underexposed video to a natural, well-exposed version with
+    realistic colors and recovered shadow detail. A porcupine under a rock.
+  output:
+    url: examples/porcupine.mp4
+- text: >-
+    Restore this underexposed video to a natural, well-exposed version with
+    realistic colors and recovered shadow detail. A tiger in the forest.
+  output:
+    url: examples/tiger.mp4
 ---
+
+# Black Magic: LTX-2.3 22B Shadow Reconstruction IC-LoRA
+
+Black Magic is a video-to-video IC-LoRA for
+[LTX-2.3 22B](https://huggingface.co/Lightricks/LTX-2.3) that transforms dark or underexposed footage into a plausible, visually rich interpretation of the hidden scene. It doesn’t simply brighten the video. It interprets what might be hidden in the dark.
+
+<Gallery />
+
+**Black Magic is a generative VFX model, not conventional low-light enhancement.** It does not claim to reveal the original signal faithfully. Where the input contains too little information, it creates a temporally coherent interpretation of what could be in the dark.
+
+## Model File
+
+- [`black-magic-ic-lora-450.safetensors`](./black-magic-ic-lora-450.safetensors)
+
+## Model Details
+
+- **Base model:** LTX-2.3 22B
+- **Training type:** IC-LoRA (video-to-video)
+- **Reference input:** dark video
+- **Reference downscale factor:** 1
+- **Recommended LoRA strength:** `1.0`–`1.25`
+
+## Intended Use & Out-of-Scope
+
+**Intended use:** Generative shadow reconstruction for short creative and VFX
+shots. The model is designed to preserve visible subjects, composition, motion,
+and light placement while imagining plausible detail in crushed shadows. This makes Black Magic especially suited to dark concerts, festivals, animals in the wild at night, nighttime footage, and other shots where a compelling reconstruction matters more than accuracy.
+
+**Out of scope:** Faithful photographic restoration, scientific enhancement,
+surveillance, forensics, or any use that requires hidden details to match the
+original scene. Indiscernible content is generated, not
+recovered.
+
+## Usage
+
+### ComfyUI
+
+A ready-to-run, two-phase ComfyUI graph is included:
+[`ltx23-black-magic-lora-workflow.json`](./ltx23-black-magic-lora-workflow.json).
+It uses ComfyUI core nodes and the official
+[Lightricks ComfyUI-LTXVideo](https://github.com/Lightricks/ComfyUI-LTXVideo)
+package. No Black Magic custom nodes are required.
+
+1. Put `black-magic-ic-lora-450.safetensors` in `ComfyUI/models/loras`.
+2. Install or update the official Lightricks ComfyUI-LTXVideo nodes.
+3. Load `ltx23-black-magic-lora-workflow.json`.
+4. Select the dark source in the **Load Video** node.
+5. Update the positive prompt with a short scene description that guides the
+   reconstruction (see below).
+6. Queue the workflow.
+
+### Prompting
+
+The following is the instruction used during training and is the recommended
+prompt prefix:
+
+```text
+Restore this underexposed video to a natural, well-exposed version with realistic colors and recovered shadow detail.
+```
+
+Append a short description of what the scene contains, or what Black Magic
+should plausibly construct in the shadows:
+
+```text
+A tiger in a forest.
+```
+
+The description acts as creative direction. Keep it concise if you want the
+visible reference to remain dominant; add more detail when the shadows are
+nearly empty and you want to steer the reimagined content. Long or strongly
+stylized prompts can intentionally pull the result farther from the source and may produce a painted look.
+
+## Recommended Settings
+
+- **Black Magic strength:** `1.0`–`1.25`
+- **Distilled LoRA strength:** `0.5`
+- **Phase one:** 8 distilled Euler steps at approximately 640×352 for 16:9 video
+- **Phase-one guidance:** video CFG `3`, audio CFG `1`, modality guidance `2`,
+  rescale `0.7`
+- **Phase two:** CFG `1`, seed `43`, sigmas `0.85, 0.7250, 0.4219, 0`
+- **Output:** 1280×704 for the included 16:9 workflow
+
+The included workflow safely decodes up to 129 output frames in one LTX VAE
+temporal tile. For a longer valid LTX sequence, set:
+
+```text
+minimum temporal_size = output frame count + 7
+```
+
+Use frame counts that are one more than a multiple of eight, such as 81, 121,
+or 129. Keep input dimensions divisible by 32.
+
+## Tips and Limitations
+
+- Visible evidence of subjects, composition, or motion gives the model stronger
+  anchors. Fully black regions leave more room for invention.
+- A concise scene description steers what the model imagines in ambiguous
+  shadows.
+- Re-running with another seed can produce a different but still plausible
+  interpretation of the same darkness.
+- This LoRA reconstructs video appearance; it was not trained as an audio
+  model.
+
+## Dataset
+
+The model was trained on video from
+[Pexels](https://www.pexels.com/videos/) and
+[BVI-RLV](https://doi.org/10.21227/mzny-8c77). Pexels videos were
+synthetically darkened to create aligned reference and target pairs and are
+subject to the [Pexels license](https://www.pexels.com/license/).
+
+Real low-light pairs came from *BVI-Lowlight: Fully registered datasets for
+low-light image and video enhancement* by P. Anantrasirichai, A. Malyugina,
+R. Lin, and D. R. Bull (2023), available under
+[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) from
+[IEEE DataPort](https://doi.org/10.21227/mzny-8c77). The clips were cropped,
+resized, and temporally sampled for training.
+
+## Training
+
+- **Technique:** IC-LoRA (rank 32, alpha 32) on the LTX-2.3 22B video
+  transformer
+- **Checkpoint:** step 450
+- **Infrastructure:** [LTX-2 Community Trainer](https://github.com/Lightricks/LTX-2/tree/main/packages/ltx-trainer)
+
+## License
+
+The model weights are released under the
+[LTX-2 Community License](https://github.com/Lightricks/LTX-2/blob/main/LICENSE).
+The source datasets remain subject to their respective licenses described in
+the Dataset section above.
+
+## Acknowledgments
+
+- [Lightricks](https://www.lightricks.com/) for LTX-2.3, the official ComfyUI
+  nodes, and the LTX-2 Community Trainer.
+- The Pexels creators and the BVI-RLV authors for the source training material.

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