All configuration is now auto-computed at sampling time - no user-facing
settings except the optional total_frames INT. Window count is derived
from the number of conditioning entries Refiner/Studio outputs. Window
size is total_frames (or actual latent size) / num_windows. Boundaries
are placed at equal intervals. split_conds_to_windows always on.
Studio: move split_by_transitions from direct node input to the Refiner
tab in the popup editor. Removed direct input, added toggle + hint text.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Removed from LORA_BLOCK_TYPE_PROFILES, LORA_TYPE_BLOCK_ZONES,
LORA_REFINER_TYPE_PROFILES, ACTION_LORA_TYPES, the validation
special-case, and the Studio JS LORA_TYPES dropdown.
normalize_lora_type() keeps the concept->action mapping for silent
backwards compatibility with any existing saved stacks.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add ltx_enhancements.py with four automatic generation improvements
driven by the refiner rating system:
Technique 2 - Per-block attention temperature: sharper (colder) attention
on semantic anchor blocks 14/19 when quality/concept is missing; softer
on early blocks when details are missing. Capped at 0.72-1.22x range.
Technique 3 - Temporal RoPE style: frame_rate manipulation via
model_function_wrapper. Selector exposed in FunPackVideoRefinerV2 node
(optional input) and in Studio popup Refiner tab.
natural=no change, accelerate=+35% fps, decelerate=-28% fps,
loop/freeze=experimental coordinate tricks.
Technique 4 - Denoise creativity mask: spatial noise weighting derived
from latent variance; high-variance regions get more denoising freedom
scaled by reward. Built but applied by downstream latent consumers.
Technique 5 - Attention anchor transfer: hidden states at anchor blocks
14 and 19 are captured via patches_replace["dit"] on every run and saved
to refinements/attn_maps/temp_{key}.pt. When the user rates a run
Perfect, bless_attention_maps() promotes the temp file to a blessed file.
Subsequent runs inject the blessed maps at 5-28% strength scaled by
reward, transferring semantic structure from good outputs onto new runs.
All enhancements are composable with existing attn2 direction patches
and STG/PAG blocks via patches_replace composition.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Event delegation on the panel root catches every input/change event
from any field inside the popup and schedules a debounced save to the
studio_settings and adjustments widgets. Changes survive page refresh
without needing to click Close.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
renderSampler() now clears the body before rebuilding so changing the
sampler type replaces the settings instead of appending to them.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Two new output pairs between seed and loss_graph:
- high_pass_sampler (SAMPLER) + high_pass_sigmas (SIGMAS)
- low_pass_sampler (SAMPLER) + low_pass_sigmas (SIGMAS)
Sampler tab in popup: per-pass selection of Hybrid Euler 2S, Distilled
Flow, or KSampler (standard ComfyUI fallback). Each type shows its own
settings fields. Motion pulse and velocity bias sections collapse when
mode is "off". Sigmas entered as comma-separated floats; empty means
rely on external sigmas input.
Python: _build_one_sampler() and _build_samplers() class methods handle
the instantiation and sigma parsing. Each sampler is built from the
same get_sampler() call as the standalone node.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
When Scene Builder mode is not Pass-through, the Refiner tab shows a
blue banner explaining the positive prompt is built in the Scene tab
with a clickable link that switches to it. The intent override field is
grayed out and disabled since intent derives from the scene prompt.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add negative_prompt STRING input. Priority chain for negative output:
1. negative_conditioning (pre-encoded CONDITIONING) - pass through as-is
2. negative_prompt (text) encoded via CLIP - removes need for external CLIPTextEncode
3. Popup default negative_prompt field in Refiner tab
4. Empty list if nothing is provided
Negative prompt field added to Refiner tab in popup with override toggle.
Override system extended with negative_prompt key.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
LoRA pipeline is now fully internal to Studio:
1. FunPackApplyLoraWeights reads session weight suggestions for the
current prompt and builds a stack with adjusted model weights
2. FunPackLoraLoader applies the stack to model and clip
3. refine_v2 receives the LoRA-patched model and applies the attn2
direction patch on top
Removes the lora_stack return value - MODEL output already contains
everything (LoRA patches + direction injection). External lora_stack
input still accepted to bypass internal management entirely.
Adds mode (ltx2/wan) and per_block settings to the LoRA tab in popup,
stored in loras_config dict in studio_settings.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add lora_stack (FUNPACK_LORA_STACK) as the 8th return value so the
active stack flows out for downstream use
- Remove positive_prompt from hidden widgets so the text area is visible
on the node face and can be connected as a link input
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Each input that has both a connected link and a popup value now has an
"Override" toggle below it (default off). Off = external input wins,
popup value is a fallback. On = popup value wins regardless.
Applies to: refinement_key (Session tab), feedback_prompt and
user_intent_prompt (Refiner tab). All other settings are popup-only
and unaffected.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
FunPackStudio combines Refinement Key, Scene Builder, Refiner V2,
Advisor LLM, LoRA loading, and Conditioning Adjust under a single node
with a tabbed popup editor. Rating widget stays on the node face;
everything else is in the popup.
Python:
- FunPackStudio.run() chains all subsystems: scene builder prompt
construction, advisor LLM load (using shared cache), LoRA loading via
FunPackLoraLoader, FunPackVideoRefinerV2.refine_v2(), and
FunPackConditioningAdjust.adjust(). No code duplication.
- Added optional _seed parameter to FunPackVideoRefinerV2.refine_v2()
so Studio can generate a seed and output it for wiring to samplers.
- Added /funpack/available_loras endpoint for the LoRA picker.
JS (funpack_studio.js):
- Tabbed popup: Session, Scene, Refiner, Advisor, LoRA, Adjustments.
- Session: refinement key, reset toggle, scene builder mode selector.
- Scene: scene load/save, phrase bank from memory, positive prompt
editor (active when scene builder is not Pass-through).
- Refiner: all V2 settings, feedback prompt, intent override.
- Advisor: LLM enable toggle, model path, dtype.
- LoRA: dynamic list of LoRAs with name/type/model-weight/clip-weight,
loaded from /funpack/available_loras.
- Adjustments: phrase/strength pairs with session phrase bank.
- Settings serialized as JSON in hidden studio_settings widget.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
