Add LTX 2.3 - LTX Image Upscaler (LORA + Workflow)

.gitattributes

@@ -626,3 +626,9 @@ sam-bramblepot/example_images/02_poster.jpg filter=lfs diff=lfs merge=lfs -text
 sam-bramblepot/example_images/02_video.mp4 filter=lfs diff=lfs merge=lfs -text
 sam-bramblepot/example_images/03_poster.jpg filter=lfs diff=lfs merge=lfs -text
 sam-bramblepot/example_images/03_video.mp4 filter=lfs diff=lfs merge=lfs -text
+ltx-2-3-ltx-image-upscaler-lora-workflow/example_images/01_image.jpeg filter=lfs diff=lfs merge=lfs -text
+ltx-2-3-ltx-image-upscaler-lora-workflow/example_images/02_image.jpeg filter=lfs diff=lfs merge=lfs -text
+ltx-2-3-ltx-image-upscaler-lora-workflow/example_images/03_image.jpeg filter=lfs diff=lfs merge=lfs -text
+ltx-2-3-ltx-image-upscaler-lora-workflow/example_images/04_image.jpeg filter=lfs diff=lfs merge=lfs -text
+ltx-2-3-ltx-image-upscaler-lora-workflow/example_images/05_image.jpeg filter=lfs diff=lfs merge=lfs -text
+ltx-2-3-ltx-image-upscaler-lora-workflow/example_images/06_image.jpeg filter=lfs diff=lfs merge=lfs -text

ltx-2-3-ltx-image-upscaler-lora-workflow/info.txt

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+═══════════════════════════════════════════════════════════════════════════════
+  LTX 2.3 - LTX IMAGE UPSCALER (LORA + WORKFLOW)
+═══════════════════════════════════════════════════════════════════════════════
+
+───────────────────────────────────────────────────────────────────────────────
+  IDENTITY
+───────────────────────────────────────────────────────────────────────────────
+  Base model        LTX-2.3
+  Generation mode   not declared by the author
+  Checkpoint        not determined — verify before use
+  Category          Detail / anatomy fixer
+  Author            JonXL
+  Source            https://civitai.com/models/2741107
+  Provenance        CivitAI · model 2741107 · version 3082707
+
+───────────────────────────────────────────────────────────────────────────────
+  WEIGHTS
+───────────────────────────────────────────────────────────────────────────────
+  File              ltx23_upscalify_4psc4l1fy.safetensors
+  Version           v1.0
+  Size              768.1 MB
+  Format            SafeTensor / unknown precision
+  SHA256            fa0997af2fb2f41fff82bf45d78f4be305b5e5ab87ed74e7f58c0386de34d76b
+  Published         2026-06-29
+
+───────────────────────────────────────────────────────────────────────────────
+  TRIGGER WORDS
+───────────────────────────────────────────────────────────────────────────────
+  No trigger word. The LoRA applies as soon as it is loaded —
+  strength is the only way to dial the effect up or down.
+
+───────────────────────────────────────────────────────────────────────────────
+  RECOMMENDED SETTINGS
+───────────────────────────────────────────────────────────────────────────────
+  Taken verbatim from the author's description:
+
+  Resolution          1920x1920
+
+───────────────────────────────────────────────────────────────────────────────
+  ADOPTION & POPULARITY
+───────────────────────────────────────────────────────────────────────────────
+  Downloads               610
+  Rating                  100% positive (21/21)
+  Comments                2
+  Published               67 days ago
+  Download rate           9.1/day since release
+
+  Adoption rank           #63 of 150 in this collection  (Moderate)
+  Momentum rank           #33 of 150 by download rate  (Trending)
+
+  Adoption tier is the percentile of total downloads within this collection;
+  momentum is the percentile of downloads-per-day since release. Momentum is
+  ranked rather than measured against a fixed rate, because this base model
+  is itself new and every LoRA looks fast on an absolute scale. Both numbers
+  are CivitAI's, read on the scrape date at the foot of this file.
+
+───────────────────────────────────────────────────────────────────────────────
+  CHAINING / STACKING
+───────────────────────────────────────────────────────────────────────────────
+  Stacks with others      not stated
+
+  The author gave no chaining guidance. The rules below are the
+  general LTX-2.3 ones, not anything specific to this LoRA.
+
+  General LTX-2.3 rules that apply here (see REFERENCE.txt):
+
+  • Stacking an acceleration LoRA with a task LoRA is officially
+    sanctioned: the ID-LoRA template chains LoraLoaderModelOnly(ltx_2.3_22b
+    _distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16, 0.5) into
+    LoraLoaderModelOnly(ltx-2.3-id-lora-talkvid-3k, 1.0) on the dev
+    checkpoint.
+  • The Python CLI exposes `--lora <path> [strength]` as a repeatable flag
+    with default strength 1.0, so multiple adapters at once is a supported
+    configuration, not a hack.
+  • Load the acceleration/distilled LoRA on the dev checkpoint only. The
+    two-stage pipelines require it for the full model but explicitly do not
+    use it for DistilledPipeline, ICLoraPipeline or DubItPipeline, which
+    already run distilled weights.
+  • Do not stack two distillation LoRAs (e.g. the official rank-384 /
+    rank-111 one plus a community DMD LoRA). The DaSiWa DMD LoRA already
+    blends 75-80% of the official distilled delta into its audio-output
+    route and is described by its author as recreating the distilled model
+    on top of stock dev, i.e. a replacement.
+  • IC-LoRAs are not chained like ordinary LoRAs: each carries a
+    reference_downscale_factor in its safetensors metadata and needs a node
+    that reads it (GetICLoRAParameters -> LTXVAddGuide in core, or
+    LTXICLoRALoaderModelOnly + LTXAddVideoICLoRAGuide in ComfyUI-LTXVideo).
+    Without one the factor silently defaults to 1.
+  • Two IC-LoRA reference guides can be driven from a single IC-LoRA: the
+    CrossView Warp author wires both a depth-warp video and the original
+    video into separate reference guides and sets latent_downscale_factor =
+    1 on both.
+  • DubItPipeline accepts exactly one Dub-It IC-LoRA (`--lora` exactly
+    once) and applies it in both stages — that path is single-adapter by
+    design.
+  • Community convention on strengths when stacking: the IC-LoRA Dual-
+    Character author recommends 0.6-1.0 for a content LoRA used alone,
+    dropped to 0.3-0.5 when combined with others.
+  • Some LoRA pairs are designed to be blended against each other — the LTX
+    2.3 Crisp Enhance / Soft Enhance pair is described by its author as
+    "can be used together and balanced at different strengths".
+  • The gemma-3-12b-it-abliterated LoRA is not a video LoRA and does not
+    belong in the DiT chain — it patches the Gemma text encoder through a
+    model+clip LoraLoader, as the official templates wire it.
+  • The author never states which weight family this targets. Within
+    LTX-2.3, dev vs distilled is low risk: they are the same architecture
+    and the distillation itself is published as a LoRA that the model card
+    calls "applicable to the full model", so ordinary content LoRAs load on
+    both. Expect style/strength drift rather than breakage; the
+
+───────────────────────────────────────────────────────────────────────────────
+  PROS
+───────────────────────────────────────────────────────────────────────────────
+  + Author published concrete recommended settings. [source: description]
+
+───────────────────────────────────────────────────────────────────────────────
+  CONS & CAVEATS
+───────────────────────────────────────────────────────────────────────────────
+  - No trigger word — the LoRA is always on once loaded, so strength is the
+    only control. [source: model metadata]
+  - Author never states which generation mode it was trained for; test
+    against your own workflow before relying on it. [source: description]
+  - Large at 768 MB — slower to load and heavier to stack. [source: file
+    size]
+  - Modest adoption (610 downloads) — less community feedback to rely on.
+    [source: CivitAI stats]
+
+───────────────────────────────────────────────────────────────────────────────
+  COMPATIBILITY WARNING
+───────────────────────────────────────────────────────────────────────────────
+  Within LTX-2.3, dev vs distilled is low risk: they are the same
+  architecture and the distillation itself is published as a LoRA that the
+  model card calls "applicable to the full model", so ordinary content LoRAs
+  load on both. Expect style/strength drift rather than breakage; the
+  distilled LoRA is meant to be applied to a dev checkpoint, not stacked on
+  an already-distilled one (the Python pipelines that start from a distilled
+  checkpoint — DistilledPipeline, ICLoraPipeline, DubItPipeline — explicitly
+  do not take --distilled-lora). The genuine risk is cross-version and cross-
+  format, and it is silent rather than a hard error: the LTX-2 repo README
+  states flatly that files "are not interchangeable between the two models,
+  and a LoRA only works with the model it was trained on", and a wrong-
+  version LoRA surfaces only as a stream of "lora key not loaded:
+  diffusion_model...." console warnings while generation proceeds as if no
+  LoRA were attached. The same silent no-op hits correctly-versioned LoRAs
+  saved in a non-ComfyUI key layout: SimpleTuner issue #2349 shows keys like
+  diffusion_model.connectors.audio_connector.transformer_blocks.N.attn1.to_q
+  going unloaded, where the LTX-2 trainer's own layout is attn1/attn2 for
+  video, audio_attn1/audio_attn2 for audio and audio_to_video_attn /
+  video_to_audio_attn for cross-modal. Community finetunes (Sulphur 2, JoyAI-
+  Echo merges) load stock LTX-2.3 LoRAs but shift the result. And an IC-LoRA
+  loaded without a metadata-reading node loses its reference scale: ComfyUI's
+  GetICLoRAParameters reads reference_downscale_factor out of the LoRA's
+  safetensors metadata and silently falls back to 1 when it is absent, so a
+  ref0.5 IC-LoRA wired straight into LTXVAddGuide without it feeds the
+  reference at the wrong latent scale.
+
+───────────────────────────────────────────────────────────────────────────────
+  AUTHOR'S DESCRIPTION
+───────────────────────────────────────────────────────────────────────────────
+  LTX 2.3 - LTX Image Upscale (LORA + Workflow)
+  Make sure to download the *updated * workflow (V3) from the 'required
+  downloads' as well!
+  There is an additional downloadable lora called 'depixelator' that improves
+  the upscaling even more. (click on the gray download panel to make it
+  expand). There is also a 'lite' version (scaled_0.5) of the upscaler lora
+  in case you get oversharped results.
+  A conceptual lora and workflow to upscale unsharp, blurry low-resolution
+  and slightly pixelated images to high resolution images up to 1920x1920.
+  The workflow captures the last frame out of a fade-in video (lora trained)
+  where the upscaling takes place.
+  Usage:
+  - The workflow is heavily recommended
+  - (As it has extremely specific parameters)
+
+  - Preferably, use the following sentence to activate the image generation
+  (no additional words required)
+  - 4psc4l1fy, a blurry pixelated image transitions into a static sharp high
+  quality image
+
+  - The initial parameters are a good start, but if you need more extreme
+  upscaling then try increasing the CFG and Upscalify Lora strength.
+
+  - Please use 'Megapixel' mode, and use megapixels between 2.06 and 3.68.
+  - Try to estimate the megapixel value to use, closest to the following
+  input image aspect ratios:
+  - For 16:9 or 9:16 use a maximum of 2.06 megapixels
+
+  - For 4:3 or 3:4 use a maximum of 2.75 megapixels
+
+  - For square images (1:1) use a maximum of up to 3.68 megapixels
+
+  - If you are uncertain stick to 2.06 megapixel. However, trying to match
+  the megapixel amount (especially if its closer to a square instead of a
+  wide rectangle) will make your images get sharper!ĺ
+
+  - Another way of working out the megapixel value is seeing what thel
+  longest size of the output image is. Make sure it does not exceed 1920
+  pixels for the longest side.
+
+  - The use of a pre-blur pass is also included, adding blur can ironically
+  help with adding minor detail.
+  - Default value is 5, but you can set it to 0 or higher if you want to
+  experiment
+
+  - Feel free to post your results, though keep it decent
+
+  - Let me know your feedback, as this is the only image upscaler using LTX
+  in this manner that I know exists for LTX so far :)
+
+  Known issues:
+  - This workflow will upscale unsharp blurred and somewhat pixelated images
+  very well
+  - Note however that it will not automagically fix plastic skin, it's not
+  meant as a detailer.
+  - (You could however try to add film grain or other noise to the input
+  image, to experiment with it's effect on the output using the upscaler)
+
+  - You may need to either install Kijai's nodes, or bypass the
+  ChunkFeedForward node inside the subgraph, follow the install instructions
+  here:
+  - https://github.com/kijai/ComfyUI-KJNodes
+
+───────────────────────────────────────────────────────────────────────────────
+  EXAMPLE MEDIA
+───────────────────────────────────────────────────────────────────────────────
+  6 preview(s) in ./example_images/ — community results for
+  this LoRA. Videos keep a matching _poster.jpg still frame.
+
+  No prompts are recorded below: CivitAI's public API flags these posts as
+  having generation metadata but does not return it, so the prompts cannot be
+  scraped. Open the model page to read them.
+
+  01_image.jpeg  (image, 3840x1920)
+  02_image.jpeg  (image, 3840x1920)
+  03_image.jpeg  (image, 3840x1920)
+  04_image.jpeg  (image, 3840x1920)
+  05_image.jpeg  (image, 3840x1920)
+  06_image.jpeg  (image, 3840x1920)
+
+───────────────────────────────────────────────────────────────────────────────
+  HOW TO USE (COMFYUI)
+───────────────────────────────────────────────────────────────────────────────
+  1. Update ComfyUI. LTX-2.3 is supported in ComfyUI core
+  (comfy_extras/nodes_lt.py provides EmptyLTXVLatentVideo, LTXVAddGuide,
+  GetICLoRAParameters, LTXVConditioning, LTXVScheduler,
+  LTXVConcatAVLatent/LTXVSeparateAVLatent, LTXVReferenceAudio and more) and
+  the six official templates need no custom nodes; install the Lightricks
+  "ComfyUI-LTXVideo" custom node pack only if you want IC-LoRA loaders, low-
+  VRAM loaders, HDR decode, audio-only nodes or Q8 nodes.
+  2. Put the base checkpoint in ComfyUI/models/checkpoints/ —
+  ltx-2.3-22b-dev-fp8.safetensors (29.15 GB) or ltx-2.3-22b-distilled-
+  fp8.safetensors (29.53 GB) from Lightricks/LTX-2.3-fp8, or the bf16
+  originals (46.15 GB) from Lightricks/LTX-2.3. It is a single file that also
+  carries the video VAE, the audio VAE and the text projection.
+  3. Put gemma_3_12B_it_fp4_mixed.safetensors in
+  ComfyUI/models/text_encoders/ (from Comfy-Org/ltx-2). The Python package
+  instead wants the full google/gemma-3-12b-it-qat-q4_0-unquantized folder.
+  4. Put ltx-2.3-spatial-upscaler-x2-1.1.safetensors in
+  ComfyUI/models/latent_upscale_models/ (needed by every two-stage template),
+  and moge_2_vitl_normal_fp16.safetensors (Comfy-Org/MoGe) in
+  ComfyUI/models/geometry_estimation/ if you use the IC-LoRA depth path.
+  5. Put every LoRA .safetensors in ComfyUI/models/loras/. Subfolders are
+  fine — Lightricks' own workflows reference
+  "ltxv/ltx2/ltx-2.3-22b-distilled-lora-384-1.1.safetensors".
+  6. Load a normal content/style LoRA with LoraLoaderModelOnly, wired between
+  CheckpointLoaderSimple's MODEL output and the guider/sampler. In the stock
+  templates you chain it after the distilled-LoRA loader. Use the full
+  LoraLoader (model + clip) only for the gemma-3-12b-it-abliterated LoRA,
+  which patches the Gemma text encoder rather than the video model.
+  7. On a dev checkpoint, also load the acceleration LoRA
+  (ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16.safetensors
+  at 0.5) unless you intend to run the slow guided path.
+  8. For an IC-LoRA, the LoRA loader alone is not enough: either use
+  LTXICLoRALoaderModelOnly + LTXAddVideoICLoRAGuide (ComfyUI-LTXVideo), or —
+  as the official ic_lora template does — feed the LoRA-loaded model through
+  core's GetICLoRAParameters into LTXVAddGuide, so the
+  reference_downscale_factor stored in the file's safetensors metadata is
+  read instead of defaulting to 1.
+  9. Template Library > Video > any LTX-2.3 workflow gives you correct wiring
+  to start from; workflow JSONs are at Comfy-Org/workflow_templates/templates
+  /video_ltx2_3_{t2v,i2v,ia2v,flf2v,ic_lora,id_lora}.json and
+  Lightricks/ComfyUI-LTXVideo/example_workflows/2.3/.
+
+───────────────────────────────────────────────────────────────────────────────
+  Scraped by lorakit on 2026-09-04 23:19 UTC.
+  Stats and description are the author's; pros/cons are derived from the
+  evidence tagged beside each line.
+───────────────────────────────────────────────────────────────────────────────

ltx-2-3-ltx-image-upscaler-lora-workflow/ltx23_upscalify_4psc4l1fy.safetensors

@@ -0,0 +1,3 @@
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+oid sha256:fa0997af2fb2f41fff82bf45d78f4be305b5e5ab87ed74e7f58c0386de34d76b
+size 805418280

ltx-2-3-ltx-image-upscaler-lora-workflow/metadata.json

@@ -0,0 +1,134 @@
+{
+  "name": "LTX 2.3 - LTX Image Upscaler (LORA + Workflow)",
+  "slug": "ltx-2-3-ltx-image-upscaler-lora-workflow",
+  "base_model": "LTX-2.3",
+  "media_type": "video",
+  "model_id": 2741107,
+  "version_id": 3082707,
+  "version_name": "v1.0",
+  "source": "civitai",
+  "url": "https://civitai.com/models/2741107",
+  "repo_id": null,
+  "file_path": null,
+  "author": "JonXL",
+  "category": {
+    "key": "detail",
+    "label": "Detail / anatomy fixer"
+  },
+  "modalities": [],
+  "primary_modality": "unspecified",
+  "checkpoint_family": "unknown",
+  "trigger_words": [],
+  "recommended_settings": {
+    "Resolution": "1920x1920"
+  },
+  "chaining": {
+    "author": {
+      "stacks": "not stated",
+      "notes": "",
+      "avoid": [],
+      "requires": [],
+      "order": "",
+      "strength": "",
+      "stated": false
+    },
+    "general_rules": [
+      "Stacking an acceleration LoRA with a task LoRA is officially sanctioned: the ID-LoRA template chains LoraLoaderModelOnly(ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16, 0.5) into LoraLoaderModelOnly(ltx-2.3-id-lora-talkvid-3k, 1.0) on the dev checkpoint.",
+      "The Python CLI exposes `--lora <path> [strength]` as a repeatable flag with default strength 1.0, so multiple adapters at once is a supported configuration, not a hack.",
+      "Load the acceleration/distilled LoRA on the dev checkpoint only. The two-stage pipelines require it for the full model but explicitly do not use it for DistilledPipeline, ICLoraPipeline or DubItPipeline, which already run distilled weights.",
+      "Do not stack two distillation LoRAs (e.g. the official rank-384 / rank-111 one plus a community DMD LoRA). The DaSiWa DMD LoRA already blends 75-80% of the official distilled delta into its audio-output route and is described by its author as recreating the distilled model on top of stock dev, i.e. a replacement.",
+      "IC-LoRAs are not chained like ordinary LoRAs: each carries a reference_downscale_factor in its safetensors metadata and needs a node that reads it (GetICLoRAParameters -> LTXVAddGuide in core, or LTXICLoRALoaderModelOnly + LTXAddVideoICLoRAGuide in ComfyUI-LTXVideo). Without one the factor silently defaults to 1.",
+      "Two IC-LoRA reference guides can be driven from a single IC-LoRA: the CrossView Warp author wires both a depth-warp video and the original video into separate reference guides and sets latent_downscale_factor = 1 on both.",
+      "DubItPipeline accepts exactly one Dub-It IC-LoRA (`--lora` exactly once) and applies it in both stages — that path is single-adapter by design.",
+      "Community convention on strengths when stacking: the IC-LoRA Dual-Character author recommends 0.6-1.0 for a content LoRA used alone, dropped to 0.3-0.5 when combined with others.",
+      "Some LoRA pairs are designed to be blended against each other — the LTX 2.3 Crisp Enhance / Soft Enhance pair is described by its author as \"can be used together and balanced at different strengths\".",
+      "The gemma-3-12b-it-abliterated LoRA is not a video LoRA and does not belong in the DiT chain — it patches the Gemma text encoder through a model+clip LoraLoader, as the official templates wire it.",
+      "The author never states which weight family this targets. Within LTX-2.3, dev vs distilled is low risk: they are the same architecture and the distillation itself is published as a LoRA that the model card calls \"applicable to the full model\", so ordinary content LoRAs load on both. Expect style/strength drift rather than breakage; the"
+    ]
+  },
+  "pros": [
+    "Author published concrete recommended settings. [source: description]"
+  ],
+  "cons": [
+    "No trigger word — the LoRA is always on once loaded, so strength is the only control. [source: model metadata]",
+    "Author never states which generation mode it was trained for; test against your own workflow before relying on it. [source: description]",
+    "Large at 768 MB — slower to load and heavier to stack. [source: file size]",
+    "Modest adoption (610 downloads) — less community feedback to rely on. [source: CivitAI stats]"
+  ],
+  "file": {
+    "name": "ltx23_upscalify_4psc4l1fy.safetensors",
+    "size_bytes": 805418280,
+    "size_mb": 768.11,
+    "sha256": "fa0997af2fb2f41fff82bf45d78f4be305b5e5ab87ed74e7f58c0386de34d76b"
+  },
+  "stats": {
+    "downloads": 610,
+    "thumbs_up": 21,
+    "thumbs_down": 0
+  },
+  "popularity": {
+    "downloads": 610,
+    "thumbs_up": 21,
+    "thumbs_down": 0,
+    "comments": 2,
+    "approval": "100% positive (21/21)",
+    "age_days": 67.1,
+    "downloads_per_day": 9.09,
+    "rank_by_downloads": 63,
+    "rank_by_momentum": 33,
+    "of_total": 150,
+    "adoption_tier": "Moderate",
+    "momentum": "Trending"
+  },
+  "selection_score": 862.0,
+  "selection_reasons": [
+    "610 downloads",
+    "21 thumbs-up",
+    "top-ranked for its category"
+  ],
+  "example_media": [
+    {
+      "file": "01_image.jpeg",
+      "type": "image",
+      "resolution": "3840x1920",
+      "prompt": ""
+    },
+    {
+      "file": "02_image.jpeg",
+      "type": "image",
+      "resolution": "3840x1920",
+      "prompt": ""
+    },
+    {
+      "file": "03_image.jpeg",
+      "type": "image",
+      "resolution": "3840x1920",
+      "prompt": ""
+    },
+    {
+      "file": "04_image.jpeg",
+      "type": "image",
+      "resolution": "3840x1920",
+      "prompt": ""
+    },
+    {
+      "file": "05_image.jpeg",
+      "type": "image",
+      "resolution": "3840x1920",
+      "prompt": ""
+    },
+    {
+      "file": "06_image.jpeg",
+      "type": "image",
+      "resolution": "3840x1920",
+      "prompt": ""
+    }
+  ],
+  "tags": [
+    "upscaler",
+    "style",
+    "upscaling"
+  ],
+  "scraped_at": "2026-09-04T23:19:54+00:00",
+  "path": "ltxv-2.3/ltx-2-3-ltx-image-upscaler-lora-workflow"
+}