2 Commits

Author SHA1 Message Date
copilot-swe-agent[bot]
ff375071c0 Fix seed widget displaying actual seed instead of -1
The issue was that serializeValue() was updating the widget's display value to the actual generated seed, causing the UI to show the seed number instead of -1. Now the widget value only updates when the user manually sets a specific seed, keeping -1 visible in the UI for random seeds.

Co-authored-by: jags111 <5968619+jags111@users.noreply.github.com>
2026-02-03 23:03:46 +00:00
copilot-swe-agent[bot]
6e8cb9be98 Initial plan 2026-02-03 22:58:45 +00:00
4 changed files with 6 additions and 66 deletions

22
.gitignore vendored
View File

@@ -1,22 +0,0 @@
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
# Virtual environments
venv/
ENV/
env/
# IDEs
.vscode/
.idea/
*.swp
*.swo
*~
# OS
.DS_Store
Thumbs.db

View File

@@ -53,7 +53,6 @@ from .py import city96_latent_upscaler
from .py import ttl_nn_latent_upscaler
from .py import bnk_tiled_samplers
from .py import bnk_adv_encode
from .py.bnk_adv_encode import normalize_prompt_text
sys.path.remove(my_dir)
from comfy import samplers
@@ -72,9 +71,6 @@ SCHEDULERS = samplers.KSampler.SCHEDULERS + ["AYS SD1", "AYS SDXL", "AYS SVD", "
def encode_prompts(positive_prompt, negative_prompt, token_normalization, weight_interpretation, clip, clip_skip,
refiner_clip, refiner_clip_skip, ascore, is_sdxl, empty_latent_width, empty_latent_height,
return_type="both"):
# Ensure prompts are valid strings to prevent tokenization errors
positive_prompt = normalize_prompt_text(positive_prompt)
negative_prompt = normalize_prompt_text(negative_prompt)
positive_encoded = negative_encoded = refiner_positive_encoded = refiner_negative_encoded = None

View File

@@ -117,7 +117,10 @@ class SeedControl {
this.updateButtonLabel();
}
this.seedWidget.value = this.serializedCtx.seedUsed;
// Don't update the widget value to maintain -1 in the UI when seed was special
if (!this.serializedCtx.wasSpecial) {
this.seedWidget.value = this.serializedCtx.seedUsed;
}
if (this.serializedCtx.wasSpecial) {
this.lastSeed = this.serializedCtx.seedUsed;
@@ -133,12 +136,8 @@ class SeedControl {
return; // Exit the function immediately
}
if (this.serializedCtx.wasSpecial) {
this.seedWidget.value = -1;
}
// Check if seed has changed to a non -1 value, and if so, update lastSeed
if (this.seedWidget.value !== -1) {
// Update lastSeed if user manually changed the seed to a specific value
if (!this.serializedCtx.wasSpecial && this.seedWidget.value !== -1) {
this.lastSeed = this.seedWidget.value;
}

View File

@@ -6,34 +6,6 @@ from math import gcd
from comfy import model_management
from comfy.sdxl_clip import SDXLClipModel, SDXLRefinerClipModel, SDXLClipG
def normalize_prompt_text(text):
"""
Normalize prompt text to prevent tokenization errors.
Converts None, empty strings, or whitespace-only strings to a single space.
Ensures the input is a string type by converting non-string values.
This function is designed to handle edge cases gracefully without crashing,
which is important for ComfyUI workflows where users might have empty prompts.
Parameters:
text: The input prompt text to normalize. Can be of any type, though
string, None, or convertible types are expected.
Returns:
str: A normalized string that is safe to pass to the tokenizer.
Returns " " (single space) for None, empty, or whitespace-only inputs.
Returns the original text unchanged if it's a valid non-empty string.
Returns str(text) for non-string types.
"""
if text is None:
return " "
if not isinstance(text, str):
# Convert non-string types to string
text = str(text)
if not text.strip():
return " "
return text
def _grouper(n, iterable):
it = iter(iterable)
while True:
@@ -265,8 +237,6 @@ def prepareXL(embs_l, embs_g, pooled, clip_balance):
return embs_g, pooled
def advanced_encode(clip, text, token_normalization, weight_interpretation, w_max=1.0, clip_balance=.5, apply_to_pooled=True):
# Ensure text is a valid string to prevent tokenization errors
text = normalize_prompt_text(text)
tokenized = clip.tokenize(text, return_word_ids=True)
if isinstance(clip.cond_stage_model, (SDXLClipModel, SDXLRefinerClipModel, SDXLClipG)):
embs_l = None
@@ -295,9 +265,6 @@ def advanced_encode(clip, text, token_normalization, weight_interpretation, w_ma
lambda x: (clip.encode_from_tokens({'l': x}), None),
w_max=w_max)
def advanced_encode_XL(clip, text1, text2, token_normalization, weight_interpretation, w_max=1.0, clip_balance=.5, apply_to_pooled=True):
# Ensure texts are valid strings to prevent tokenization errors
text1 = normalize_prompt_text(text1)
text2 = normalize_prompt_text(text2)
tokenized1 = clip.tokenize(text1, return_word_ids=True)
tokenized2 = clip.tokenize(text2, return_word_ids=True)