Add SmoothMix Animations LTX

.gitattributes

@@ -100,3 +100,11 @@ camera-controls-ltx-2-3/example_images/04_poster.jpg filter=lfs diff=lfs merge=l
 camera-controls-ltx-2-3/example_images/04_video.mp4 filter=lfs diff=lfs merge=lfs -text
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 camera-controls-ltx-2-3/example_images/06_video.mp4 filter=lfs diff=lfs merge=lfs -text
+smoothmix-animations-ltx/example_images/01_video.mp4 filter=lfs diff=lfs merge=lfs -text
+smoothmix-animations-ltx/example_images/02_video.mp4 filter=lfs diff=lfs merge=lfs -text
+smoothmix-animations-ltx/example_images/03_video.mp4 filter=lfs diff=lfs merge=lfs -text
+smoothmix-animations-ltx/example_images/04_poster.jpg filter=lfs diff=lfs merge=lfs -text
+smoothmix-animations-ltx/example_images/04_video.mp4 filter=lfs diff=lfs merge=lfs -text
+smoothmix-animations-ltx/example_images/05_video.mp4 filter=lfs diff=lfs merge=lfs -text
+smoothmix-animations-ltx/example_images/06_poster.jpg filter=lfs diff=lfs merge=lfs -text
+smoothmix-animations-ltx/example_images/06_video.mp4 filter=lfs diff=lfs merge=lfs -text

smoothmix-animations-ltx/SmoothMix_Animations_LTX2.safetensors

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smoothmix-animations-ltx/info.txt

@@ -0,0 +1,314 @@
+═══════════════════════════════════════════════════════════════════════════════
+  SMOOTHMIX ANIMATIONS LTX
+═══════════════════════════════════════════════════════════════════════════════
+
+───────────────────────────────────────────────────────────────────────────────
+  IDENTITY
+───────────────────────────────────────────────────────────────────────────────
+  Base model        LTX-2.3
+  Generation mode   Text-to-Video (T2V), Image-to-Video (I2V)
+  Checkpoint        ltx-2.3-22b-dev (full / base)
+  Category          Visual style
+  Author            DigitalPastel
+  Source            https://civitai.com/models/2524245
+  Provenance        CivitAI · model 2524245 · version 2837052
+
+───────────────────────────────────────────────────────────────────────────────
+  WEIGHTS
+───────────────────────────────────────────────────────────────────────────────
+  File              SmoothMix_Animations_LTX2.safetensors
+  Version           v1.0
+  Size              1,285.6 MB
+  Format            SafeTensor / unknown precision
+  SHA256            02a9e8d1884db23e022828f7d7221d5c93fc3c8d7924a022d8e4ab0a81ebb31f
+  Published         2026-04-22
+
+───────────────────────────────────────────────────────────────────────────────
+  TRIGGER WORDS
+───────────────────────────────────────────────────────────────────────────────
+  › "smoothmixanime"
+  › "anime style"
+  › "smoothmixrealism"
+  › "realistic style"
+
+───────────────────────────────────────────────────────────────────────────────
+  RECOMMENDED SETTINGS
+───────────────────────────────────────────────────────────────────────────────
+  Taken verbatim from the author's description:
+
+  LoRA strength       1.0
+
+───────────────────────────────────────────────────────────────────────────────
+  ADOPTION & POPULARITY
+───────────────────────────────────────────────────────────────────────────────
+  Downloads               3,733
+  Rating                  100% positive (281/282)
+  Comments                0
+  Published               136 days ago
+  Download rate           27.5/day since release
+
+  Adoption rank           #8 of 150 in this collection  (Top tier)
+  Momentum rank           #7 of 150 by download rate  (Hot)
+
+  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 full, flexible, trainable bf16 model — ltx-2.3-22b-dev.safetensors
+    is 46.15 GB bf16, 29.15 GB as ltx-2.3-22b-dev-fp8.safetensors. This is
+    what LoRAs are trained against, and what four of the six official
+    ComfyUI LTX-2.3 templates load (t2v, i2v, ia2v, id_lora). Needs either
+    real guidance (Lightricks' own single-stage workflow sets LTXVScheduler
+    to 15 steps with MultimodalGuider) or the distill
+
+───────────────────────────────────────────────────────────────────────────────
+  PROS
+───────────────────────────────────────────────────────────────────────────────
+  + Well established — 3,733 downloads. [source: CivitAI stats]
+  + Positively received — 281 thumbs-up, 1 down. [source: CivitAI stats]
+  + Explicit trigger word(s) — smoothmixanime, anime style,
+    smoothmixrealism, realistic style — so the effect can be turned on and
+    off from the prompt. [source: model metadata]
+  + Author documents use across several modes (T2V, I2V). [source:
+    description]
+  + Author published concrete recommended settings. [source: description]
+
+───────────────────────────────────────────────────────────────────────────────
+  CONS & CAVEATS
+───────────────────────────────────────────────────────────────────────────────
+  - Large at 1286 MB — slower to load and heavier to stack. [source: file
+    size]
+
+───────────────────────────────────────────────────────────────────────────────
+  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
+───────────────────────────────────────────────────────────────────────────────
+  SmoothMix Animations LTX "Epic stuff or lewd stuff... make your choice!"
+
+  Its still not on the same level as the WAN 2.2 version. LTX is very
+  stubborn. T_T
+  So its still a WIP!
+  The main problem is the inconsistency of the results and LTX has many
+  little configurations, both in prompting and setup, that can really affect
+  the results. Testing it properly is kinda of a pain. =/
+  But its still possible to make alot of fun stuff.
+  There is a lot to explain so lets get started!
+
+  - ComfyUI Workflow Settings
+
+  All videos on all Showcases used this setup:
+  ->Workflow: Smooth Workflow LTX (I2V/T2V) on its default settings (Check
+  the workflow Showcase for more examples);
+  ->Model: ltx-2.3-22b-dev_transformer_only_fp8_scaled ;
+  ->Lora: ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16 set to
+  0.5
+  With SmoothMix LTX set with 0.8 or 1.0 weight.
+
+  - Trigger Words
+
+  The Loras use the following trigger words:
+  'SmoothMixAnime' and 'Anime Style' - Will make the video have the style of
+  SmoothMix Illustrious/NoobAI/Illustrious2+NoobAI, I recommend using both;
+  'SmoothMixRealism' and 'Realistic Style' - Will make the video have the
+  style of SmoothMix Realism, I recommend using both.
+
+  - Img2Vid and Txt2Vid
+
+  Its primary usage is for T2V. LTX 2.3 seems to have a tendency towards
+  realism, causing some facial distortions on semi-realism/anime images on
+  animations. Try using this Lora with the ' SmoothMixAnime' with weight of
+  at least 0.5 - it might help aliviate that. For T2V I recommend using at
+  least 0.8 weight for most cases.
+
+  - Limitations
+
+  So far, LTX is proving to be very annoying for trainning SmoothMix
+  Animation. Using the same dataset with same prompts did not work at all -
+  so making a completely new dataset of videos was necessary. After a few
+  tests this Lora was the best result so far - but its still not as
+  'energetic' as the Lora for WAN 2.2. The main issue so far is the
+  inconsistency:
+  - Bouncing and movement: The bouncing is nowhere near as it should be
+  (NOOOOOO!!!! T_T). You can still prompt it and get a great results but it
+  doesn't happen everytime. Movement can still be very stiff.
+
+  - Uncensoring: The uncensoring - overall - works but sometimes can make
+  some weird stuff. (NOOOOOO!!! T_T). So its still not where I want it but it
+  should work well most of the times. I added the male dataset used on
+  Futanaris and Males Lora for WAN 2.2 to uncensor the guys as well but it
+  can only create... huh... eldritch tentacle abominations on the guys
+  (NOOOO!!! T_T), so don't even try those... unless you want to make your
+  eyes bleed! I'm trying to avoid needing to train another Lora just for
+  males and futanaris again but it seems it's going to be inevitable. sigh
+
+  As always feedback is appreciated! I'll be working on this specify project
+  for now. My main goal is improving the dataset for now. So if you have any
+  difficulties on making certain poses/actions be sure to tell me as I'll be
+  taking notes! ^^
+
+  Actually I'm still not sure if I just need more videos on the dataset or if
+  the training needs more steps... or both. This Lora is already using more
+  videos than the WAN 2.2 Lora - with higher quality - and yet the results
+  can be very different between the two.
+
+  The training takes WAY LONGER as well - 30 hours to make this! WTF!? I'm
+  sorry WAN 2.2! Perhaps I treated you harshly! T_T
+
+  Anyway, this is only possible with your support! =) If you wish to support
+  a bit just visit my DeviantArt page. Any support counts. ^^
+
+  Thank you for all your support!
+
+  Thats all for now!
+  Have fun! =)
+
+───────────────────────────────────────────────────────────────────────────────
+  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_video.mp4  (video, 704x1280)
+      still: 01_poster.jpg
+  02_video.mp4  (video, 704x1280)
+      still: 02_poster.jpg
+  03_video.mp4  (video, 704x1280)
+      still: 03_poster.jpg
+  04_video.mp4  (video, 960x960)
+      still: 04_poster.jpg
+  05_video.mp4  (video, 768x1152)
+      still: 05_poster.jpg
+  06_video.mp4  (video, 768x1152)
+      still: 06_poster.jpg
+
+───────────────────────────────────────────────────────────────────────────────
+  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 23:13 UTC.
+  Stats and description are the author's; pros/cons are derived from the
+  evidence tagged beside each line.
+───────────────────────────────────────────────────────────────────────────────

smoothmix-animations-ltx/metadata.json

@@ -0,0 +1,148 @@
+{
+  "name": "SmoothMix Animations LTX",
+  "slug": "smoothmix-animations-ltx",
+  "base_model": "LTX-2.3",
+  "media_type": "video",
+  "model_id": 2524245,
+  "version_id": 2837052,
+  "version_name": "v1.0",
+  "source": "civitai",
+  "url": "https://civitai.com/models/2524245",
+  "repo_id": null,
+  "file_path": null,
+  "author": "DigitalPastel",
+  "category": {
+    "key": "style",
+    "label": "Visual style"
+  },
+  "modalities": [
+    "t2v",
+    "i2v"
+  ],
+  "primary_modality": "t2v",
+  "checkpoint_family": "dev",
+  "trigger_words": [
+    "smoothmixanime",
+    "anime style",
+    "smoothmixrealism",
+    "realistic style"
+  ],
+  "recommended_settings": {
+    "LoRA strength": "1.0"
+  },
+  "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 full, flexible, trainable bf16 model — ltx-2.3-22b-dev.safetensors is 46.15 GB bf16, 29.15 GB as ltx-2.3-22b-dev-fp8.safetensors. This is what LoRAs are trained against, and what four of the six official ComfyUI LTX-2.3 templates load (t2v, i2v, ia2v, id_lora). Needs either real guidance (Lightricks' own single-stage workflow sets LTXVScheduler to 15 steps with MultimodalGuider) or the distill"
+    ]
+  },
+  "pros": [
+    "Well established — 3,733 downloads. [source: CivitAI stats]",
+    "Positively received — 281 thumbs-up, 1 down. [source: CivitAI stats]",
+    "Explicit trigger word(s) — smoothmixanime, anime style, smoothmixrealism, realistic style — so the effect can be turned on and off from the prompt. [source: model metadata]",
+    "Author documents use across several modes (T2V, I2V). [source: description]",
+    "Author published concrete recommended settings. [source: description]"
+  ],
+  "cons": [
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+}