architecture awareness - add compatibility for wan, flux and qwen

This commit is contained in:
larsupb
2025-12-23 15:44:19 +01:00
parent 62ceda93a1
commit ffda0472db
14 changed files with 2193 additions and 19 deletions
+1 -1
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@@ -14,7 +14,7 @@ from .src.nodes_merge_methods import TaskArithmeticMergeMethod, NearSwapMergeMet
TIESMergeMethod, DAREMergeMethod, DELLAMergeMethod, SLERPMergeMethod, LinearMergeMethod, NuSlerpMergeMethod, \
ArceeFusionMergeMethod, KArcherMergeMethod
version_code = [2, 0, 0]
version_code = [2, 1, 0]
version_str = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
print(f"### Loading: ComfyUI LoRA-PowerMerge ({version_str})")
+96
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@@ -0,0 +1,96 @@
#!/usr/bin/env python3
"""
Debug script to analyze LoRA layer keys from a Wan 2.2 model.
Run this to see what layer keys are actually present in your LoRA.
"""
import sys
import safetensors.torch
def analyze_lora_keys(lora_path):
"""Load and analyze the layer keys in a LoRA file."""
print(f"\nAnalyzing LoRA: {lora_path}\n")
try:
# Load the LoRA
if lora_path.endswith('.safetensors'):
lora_dict = safetensors.torch.load_file(lora_path)
else:
import torch
lora_dict = torch.load(lora_path, map_location='cpu')
keys = list(lora_dict.keys())
print(f"Total keys: {len(keys)}\n")
# Analyze key patterns
print("Sample keys (first 20):")
for key in keys[:20]:
print(f" {key}")
print("\n" + "="*80)
# Extract unique layer components
components = set()
for key in keys:
parts = key.split('.')
for part in parts:
if part not in ['lora_up', 'lora_down', 'alpha', 'weight', 'bias']:
components.add(part)
print("\nUnique layer components found:")
for comp in sorted(components):
print(f" {comp}")
print("\n" + "="*80)
# Check for common patterns
patterns = {
'attention': ['attn', 'attention', 'self_attn', 'cross_attn'],
'mlp/feedforward': ['mlp', 'ff', 'feed_forward', 'ffn', 'fc'],
'projection': ['proj', 'projection'],
'norm': ['norm', 'ln', 'layer_norm'],
'embedding': ['emb', 'embedding', 'token'],
}
print("\nPattern matching analysis:")
for category, pattern_list in patterns.items():
matching_keys = []
for key in keys:
if any(pattern in key.lower() for pattern in pattern_list):
matching_keys.append(key)
if matching_keys:
print(f"\n{category.upper()} ({len(matching_keys)} keys):")
for key in matching_keys[:5]:
print(f" {key}")
if len(matching_keys) > 5:
print(f" ... and {len(matching_keys) - 5} more")
print("\n" + "="*80)
# Try to identify architecture
print("\nArchitecture detection:")
key_str = ' '.join(keys).lower()
if 'double_blocks' in key_str or 'single_blocks' in key_str:
print(" -> Likely a Flux/DiT architecture (double_blocks/single_blocks)")
elif 'joint_blocks' in key_str:
print(" -> Likely a SD3/MMDiT architecture (joint_blocks)")
elif 'input_blocks' in key_str or 'output_blocks' in key_str:
print(" -> Likely a SD1.5/SDXL architecture (UNet)")
else:
print(" -> Unknown architecture")
except Exception as e:
print(f"Error loading LoRA: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
if len(sys.argv) < 2:
print("Usage: python debug_keys.py <path_to_lora.safetensors>")
print("\nExample:")
print(" python debug_keys.py /path/to/your/wan2.2_lora.safetensors")
sys.exit(1)
analyze_lora_keys(sys.argv[1])
+1 -1
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@@ -1,7 +1,7 @@
[project]
name = "lora-merger-comfyui"
description = "An extension for merging LoRAs. Offers a wide range of LoRA merge techniques (including dare) and XY plots. XY plots require efficiency nodes."
version = "2.0.0"
version = "2.1.0"
license = "MIT"
[project.urls]
+1
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@@ -4,6 +4,7 @@ import time
from typing import Optional, Set
import torch
import comfy
from .architectures.sd_lora import analyse_keys, calc_up_down_alphas
from .types import LORA_TENSORS_BY_LAYER, LORA_STACK, LORA_TENSOR_DICT
+47 -4
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@@ -100,7 +100,8 @@ def parse_layer_filter(layer_filter: LayerFilterType) -> Optional[LayerComponent
def apply_layer_filter(
patch_dict: LORA_KEY_DICT,
layer_filter: Optional[LayerComponentSet]
layer_filter: Optional[LayerComponentSet],
detect_architecture: bool = True
) -> LORA_KEY_DICT:
"""
Apply layer component filter to patch dictionary.
@@ -111,22 +112,64 @@ def apply_layer_filter(
Args:
patch_dict: Dictionary of layer key -> LoRAAdapter
layer_filter: Set of component names to keep, or None for no filtering
detect_architecture: Whether to detect and log architecture (default: True)
Returns:
Filtered patch dictionary containing only matching layers
Note:
Uses component-based matching (split by '.') to avoid false positives
from substring matches (e.g., 'ff' in 'diffusion_model').
Example:
>>> patches = {"attn1.weight": adapter1, "ff.weight": adapter2, "other": adapter3}
>>> patches = {"model.attn1.weight": adapter1, "model.ff.weight": adapter2}
>>> filtered = apply_layer_filter(patches, {"attn1", "attn2"})
>>> # Returns only {"attn1.weight": adapter1}
>>> # Returns only {"model.attn1.weight": adapter1}
"""
from ..utils.layer_filter import detect_lora_architecture
num_keys = len(patch_dict.keys())
# Detect architecture before filtering
if detect_architecture and patch_dict:
arch_name, arch_meta = detect_lora_architecture(patch_dict)
total_keys = arch_meta.get("total_keys", num_keys)
if arch_name != "Unknown":
logging.info(f"Detected {arch_name} architecture ({total_keys} keys)")
else:
logging.debug(f"Processing LoRA ({total_keys} keys, architecture: {arch_name})")
if layer_filter:
import re
def matches_filter(key) -> bool:
"""
Check if key matches any filter component.
Uses word-boundary aware matching to avoid false positives.
For example, 'ff' will match 'ff_net' or '.ff.' but not 'diffusion'.
"""
# Handle tuple keys from ComfyUI
key_str = str(key[0]) if isinstance(key, tuple) else str(key)
key_lower = key_str.lower()
for filter_pattern in layer_filter:
pattern_lower = filter_pattern.lower()
# Create regex pattern with word boundaries
# Match pattern when surrounded by dots, underscores, or at start/end
regex_pattern = r'(?:^|[._])' + re.escape(pattern_lower) + r'(?:[._]|$)'
if re.search(regex_pattern, key_lower):
return True
return False
patch_dict = {
k0: v0
for k0, v0 in patch_dict.items()
if any(layer in k0 for layer in layer_filter)
if matches_filter(k0)
}
logging.info(
+3 -1
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@@ -3,15 +3,17 @@ Utilities package for LoRA Power-Merger.
Provides helper utilities including:
- Layer filtering
- Architecture detection
- Progress tracking
- Configuration constants
"""
from .layer_filter import LayerFilter
from .layer_filter import LayerFilter, detect_lora_architecture
from .progress import ThreadSafeProgressBar
from .config import *
__all__ = [
'LayerFilter',
'detect_lora_architecture',
'ThreadSafeProgressBar',
]
+9 -4
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@@ -86,10 +86,11 @@ PROGRESS_BAR_FORMAT = "{desc}: {percentage:3.0f}%|{bar}| {n_fmt}/{total_fmt}"
# Layer Filter Constants
# ============================================================================
# Architecture-agnostic layer filter sets (works for both SD and DiT)
ATTENTION_LAYERS = {"attn1", "attn2", "attention"}
MLP_LAYERS = {"ff", "mlp", "feed_forward"}
ATTENTION_MLP_LAYERS = {"attn1", "attn2", "attention", "ff", "mlp", "feed_forward"}
# Architecture-agnostic layer filter sets (works for SD, DiT, Flux, and Wan)
# Note: 'attn' is added as a general pattern to catch Flux keys like 'img_attn_proj'
ATTENTION_LAYERS = {"attn", "attn1", "attn2", "attention", "self_attn", "cross_attn"}
MLP_LAYERS = {"ff", "mlp", "feed_forward", "ffn"}
ATTENTION_MLP_LAYERS = {"attn", "attn1", "attn2", "attention", "self_attn", "cross_attn", "ff", "mlp", "feed_forward", "ffn"}
# Legacy architecture-specific constants (deprecated, kept for backward compatibility)
SD_ATTENTION_LAYERS = {"attn1", "attn2"}
@@ -98,6 +99,8 @@ SD_ATTENTION_MLP_LAYERS = {"attn1", "attn2", "ff"}
SD_PROJECTION_LAYERS = {"proj_in", "proj_out"}
DIT_ATTENTION_LAYERS = {"attention"}
DIT_MLP_LAYERS = {"mlp", "feed_forward"}
WAN_ATTENTION_LAYERS = {"self_attn", "cross_attn"}
WAN_MLP_LAYERS = {"ffn"}
# ============================================================================
@@ -178,6 +181,8 @@ __all__ = [
'SD_PROJECTION_LAYERS',
'DIT_ATTENTION_LAYERS',
'DIT_MLP_LAYERS',
'WAN_ATTENTION_LAYERS',
'WAN_MLP_LAYERS',
# File I/O
'LORA_FILE_EXTENSIONS',
+189 -8
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@@ -4,7 +4,7 @@ Layer filtering utilities for LoRA Power-Merger.
Provides LayerFilter class for selective layer merging operations.
"""
from typing import Set, Optional, Dict, Any
from typing import Set, Optional, Dict, Any, Tuple
from ..types import LORA_KEY_DICT, LayerComponentSet
from .config import (
ATTENTION_LAYERS,
@@ -13,6 +13,123 @@ from .config import (
)
def detect_lora_architecture(patch_dict: LORA_KEY_DICT, sample_size: int = 20) -> Tuple[str, Dict[str, Any]]:
"""
Detect the architecture of a LoRA by analyzing its layer keys.
Args:
patch_dict: Dictionary of LoRA patches
sample_size: Number of keys to sample for detection (default: 20)
Returns:
Tuple of (architecture_name, metadata_dict)
Examples:
>>> arch, meta = detect_lora_architecture(lora_patches)
>>> print(f"Detected {arch} architecture")
>>> # "Detected Wan 2.2 architecture"
"""
if not patch_dict:
return "Unknown", {"reason": "Empty patch dictionary"}
# Sample keys for analysis
all_keys = list(patch_dict.keys())
sample_keys = all_keys[:min(sample_size, len(all_keys))]
# Convert keys to strings (handle tuple keys from ComfyUI)
key_strings = [str(k[0]) if isinstance(k, tuple) else str(k) for k in sample_keys]
all_keys_str = ' '.join(key_strings).lower()
metadata = {
"total_keys": len(all_keys),
"sample_size": len(sample_keys),
"confidence": "high"
}
# Architecture detection patterns (order matters - most specific first)
# 1. Wan 2.2: diffusion_model.blocks.N.{self_attn,cross_attn,ffn}
if 'diffusion_model.blocks.' in all_keys_str and ('self_attn' in all_keys_str or 'cross_attn' in all_keys_str):
if 'ffn' in all_keys_str:
metadata["attention_type"] = "self_attn + cross_attn"
metadata["mlp_type"] = "ffn"
return "Wan 2.2", metadata
# 2. Flux: double_blocks/single_blocks with img_attn/txt_attn and img_mlp/txt_mlp
if 'double_blocks' in all_keys_str or 'single_blocks' in all_keys_str:
has_img_attn = 'img_attn' in all_keys_str
has_txt_attn = 'txt_attn' in all_keys_str
has_img_mlp = 'img_mlp' in all_keys_str
has_txt_mlp = 'txt_mlp' in all_keys_str
if (has_img_attn or has_txt_attn) and (has_img_mlp or has_txt_mlp):
metadata["architecture_type"] = "Dual-stream transformer"
metadata["has_double_blocks"] = 'double_blocks' in all_keys_str
metadata["has_single_blocks"] = 'single_blocks' in all_keys_str
return "Flux", metadata
# 3. Qwen Image Edit: transformer_blocks.N.attn.* and {img_mlp,txt_mlp}
if 'transformer_blocks.' in all_keys_str and '.attn.' in all_keys_str:
has_img_mlp = 'img_mlp' in all_keys_str
has_txt_mlp = 'txt_mlp' in all_keys_str
if has_img_mlp or has_txt_mlp:
metadata["architecture_type"] = "Image-text transformer"
metadata["mlp_type"] = "img_mlp + txt_mlp"
return "Qwen Image Edit", metadata
# 4. zImage: diffusion_model.layers.N with feed_forward and adaLN_modulation
if 'diffusion_model.layers.' in all_keys_str and 'feed_forward' in all_keys_str:
if 'adaln_modulation' in all_keys_str:
metadata["architecture_type"] = "Pure DiT"
metadata["has_adaptive_norm"] = True
metadata["attention_type"] = "attention"
metadata["mlp_type"] = "feed_forward"
return "zImage", metadata
# 5. Generic DiT: diffusion_model.layers.N.{attention,feed_forward}
if 'diffusion_model.layers.' in all_keys_str and '.attention.' in all_keys_str:
metadata["architecture_type"] = "DiT (Diffusion Transformer)"
metadata["attention_type"] = "attention"
metadata["mlp_type"] = "mlp or feed_forward"
return "DiT", metadata
# 6. Stable Diffusion: lora_unet with attn1/attn2 and ff
if 'lora_unet' in all_keys_str or 'unet' in all_keys_str:
has_attn1 = 'attn1' in all_keys_str
has_attn2 = 'attn2' in all_keys_str
has_ff = '_ff' in all_keys_str
if has_attn1 or has_attn2:
# Determine if SDXL or SD1.5 based on key patterns
if 'down_blocks' in all_keys_str or 'up_blocks' in all_keys_str:
metadata["architecture_type"] = "UNet"
metadata["attention_type"] = "attn1 + attn2"
metadata["mlp_type"] = "ff"
# Try to distinguish SDXL vs SD1.5 by complexity
if len(all_keys) > 500:
return "Stable Diffusion XL", metadata
else:
return "Stable Diffusion 1.5", metadata
# 7. Fallback: Unknown architecture
metadata["confidence"] = "low"
metadata["reason"] = "No matching architecture pattern found"
# Provide hints about what was found
patterns_found = []
if 'attention' in all_keys_str:
patterns_found.append("attention layers")
if 'mlp' in all_keys_str or 'feed_forward' in all_keys_str or 'ff' in all_keys_str:
patterns_found.append("MLP/feedforward layers")
if patterns_found:
metadata["patterns_found"] = patterns_found
return "Unknown", metadata
class LayerFilter:
"""
Layer filtering for selective LoRA merging.
@@ -60,37 +177,81 @@ class LayerFilter:
f"filter_spec must be None, str, or set. Got {type(filter_spec)}"
)
def apply(self, patch_dict: LORA_KEY_DICT) -> LORA_KEY_DICT:
def apply(self, patch_dict: LORA_KEY_DICT, detect_architecture: bool = True) -> LORA_KEY_DICT:
"""
Apply filter to patch dictionary.
Args:
patch_dict: Dictionary of layer key -> LoRAAdapter
detect_architecture: Whether to detect and log architecture (default: True)
Returns:
Filtered patch dictionary
Note:
Uses component-based matching (split by '.') to avoid false positives
from substring matches (e.g., 'ff' in 'diffusion_model').
Example:
>>> filter = LayerFilter("attn-only")
>>> filtered = filter.apply(lora_patches)
"""
import logging
# Detect architecture before filtering
if detect_architecture and patch_dict:
arch_name, arch_meta = detect_lora_architecture(patch_dict)
total_keys = arch_meta.get("total_keys", len(patch_dict))
if arch_name != "Unknown":
logging.info(f"Detected {arch_name} architecture ({total_keys} keys)")
else:
logging.info(f"Processing LoRA ({total_keys} keys, architecture: {arch_name})")
if self.filter_set is None:
# No filtering
return patch_dict
original_count = len(patch_dict)
# Filter to only include keys that contain any of the filter components
def matches_filter(key) -> bool:
"""
Check if key matches any filter component.
Uses word-boundary aware matching to avoid false positives.
For example, 'ff' will match 'ff_net' or '.ff.' but not 'diffusion'.
"""
import re
# Handle tuple keys from ComfyUI
key_str = str(key[0]) if isinstance(key, tuple) else str(key)
key_lower = key_str.lower()
for filter_pattern in self.filter_set:
pattern_lower = filter_pattern.lower()
# Create regex pattern with word boundaries
# \b doesn't work well with underscores, so use custom pattern
# Match pattern when it appears:
# - at start/end of string
# - surrounded by dots, underscores, or other non-alphanumeric chars
regex_pattern = r'(?:^|[._])' + re.escape(pattern_lower) + r'(?:[._]|$)'
if re.search(regex_pattern, key_lower):
return True
return False
# Filter to only include keys that match filter components
filtered_dict = {
key: value
for key, value in patch_dict.items()
if any(component in key for component in self.filter_set)
if matches_filter(key)
}
filtered_count = original_count - len(filtered_dict)
if filtered_count > 0:
import logging
logging.info(
f"Layer filter: kept {len(filtered_dict)}/{original_count} keys "
f"({filtered_count} filtered out)"
@@ -122,17 +283,37 @@ class LayerFilter:
"""Check if filter would exclude all layers."""
return self.filter_set is not None and len(self.filter_set) == 0
def matches(self, layer_key: str) -> bool:
def matches(self, layer_key) -> bool:
"""
Check if a layer key matches the filter.
Args:
layer_key: Layer key to check
layer_key: Layer key to check (can be string or tuple)
Returns:
True if layer matches filter (or no filter), False otherwise
Note:
Uses word-boundary aware matching to avoid false positives.
For example, 'ff' will match 'ff_net' or '.ff.' but not 'diffusion'.
"""
if self.filter_set is None:
return True
return any(component in layer_key for component in self.filter_set)
import re
# Handle tuple keys from ComfyUI
key_str = str(layer_key[0]) if isinstance(layer_key, tuple) else str(layer_key)
key_lower = key_str.lower()
for filter_pattern in self.filter_set:
pattern_lower = filter_pattern.lower()
# Create regex pattern with word boundaries
# Match pattern when surrounded by dots, underscores, or at start/end
regex_pattern = r'(?:^|[._])' + re.escape(pattern_lower) + r'(?:[._]|$)'
if re.search(regex_pattern, key_lower):
return True
return False
+366
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@@ -0,0 +1,366 @@
Analyzing LoRA: Flux/Test-F1-LoRA.safetensors
Total keys: 912
Sample keys (first 20):
lora_unet_double_blocks_0_img_attn_proj.alpha
lora_unet_double_blocks_0_img_attn_proj.lora_down.weight
lora_unet_double_blocks_0_img_attn_proj.lora_up.weight
lora_unet_double_blocks_0_img_attn_qkv.alpha
lora_unet_double_blocks_0_img_attn_qkv.lora_down.weight
lora_unet_double_blocks_0_img_attn_qkv.lora_up.weight
lora_unet_double_blocks_0_img_mlp_0.alpha
lora_unet_double_blocks_0_img_mlp_0.lora_down.weight
lora_unet_double_blocks_0_img_mlp_0.lora_up.weight
lora_unet_double_blocks_0_img_mlp_2.alpha
lora_unet_double_blocks_0_img_mlp_2.lora_down.weight
lora_unet_double_blocks_0_img_mlp_2.lora_up.weight
lora_unet_double_blocks_0_img_mod_lin.alpha
lora_unet_double_blocks_0_img_mod_lin.lora_down.weight
lora_unet_double_blocks_0_img_mod_lin.lora_up.weight
lora_unet_double_blocks_0_txt_attn_proj.alpha
lora_unet_double_blocks_0_txt_attn_proj.lora_down.weight
lora_unet_double_blocks_0_txt_attn_proj.lora_up.weight
lora_unet_double_blocks_0_txt_attn_qkv.alpha
lora_unet_double_blocks_0_txt_attn_qkv.lora_down.weight
================================================================================
Unique layer components found:
lora_unet_double_blocks_0_img_attn_proj
lora_unet_double_blocks_0_img_attn_qkv
lora_unet_double_blocks_0_img_mlp_0
lora_unet_double_blocks_0_img_mlp_2
lora_unet_double_blocks_0_img_mod_lin
lora_unet_double_blocks_0_txt_attn_proj
lora_unet_double_blocks_0_txt_attn_qkv
lora_unet_double_blocks_0_txt_mlp_0
lora_unet_double_blocks_0_txt_mlp_2
lora_unet_double_blocks_0_txt_mod_lin
lora_unet_double_blocks_10_img_attn_proj
lora_unet_double_blocks_10_img_attn_qkv
lora_unet_double_blocks_10_img_mlp_0
lora_unet_double_blocks_10_img_mlp_2
lora_unet_double_blocks_10_img_mod_lin
lora_unet_double_blocks_10_txt_attn_proj
lora_unet_double_blocks_10_txt_attn_qkv
lora_unet_double_blocks_10_txt_mlp_0
lora_unet_double_blocks_10_txt_mlp_2
lora_unet_double_blocks_10_txt_mod_lin
lora_unet_double_blocks_11_img_attn_proj
lora_unet_double_blocks_11_img_attn_qkv
lora_unet_double_blocks_11_img_mlp_0
lora_unet_double_blocks_11_img_mlp_2
lora_unet_double_blocks_11_img_mod_lin
lora_unet_double_blocks_11_txt_attn_proj
lora_unet_double_blocks_11_txt_attn_qkv
lora_unet_double_blocks_11_txt_mlp_0
lora_unet_double_blocks_11_txt_mlp_2
lora_unet_double_blocks_11_txt_mod_lin
lora_unet_double_blocks_12_img_attn_proj
lora_unet_double_blocks_12_img_attn_qkv
lora_unet_double_blocks_12_img_mlp_0
lora_unet_double_blocks_12_img_mlp_2
lora_unet_double_blocks_12_img_mod_lin
lora_unet_double_blocks_12_txt_attn_proj
lora_unet_double_blocks_12_txt_attn_qkv
lora_unet_double_blocks_12_txt_mlp_0
lora_unet_double_blocks_12_txt_mlp_2
lora_unet_double_blocks_12_txt_mod_lin
lora_unet_double_blocks_13_img_attn_proj
lora_unet_double_blocks_13_img_attn_qkv
lora_unet_double_blocks_13_img_mlp_0
lora_unet_double_blocks_13_img_mlp_2
lora_unet_double_blocks_13_img_mod_lin
lora_unet_double_blocks_13_txt_attn_proj
lora_unet_double_blocks_13_txt_attn_qkv
lora_unet_double_blocks_13_txt_mlp_0
lora_unet_double_blocks_13_txt_mlp_2
lora_unet_double_blocks_13_txt_mod_lin
lora_unet_double_blocks_14_img_attn_proj
lora_unet_double_blocks_14_img_attn_qkv
lora_unet_double_blocks_14_img_mlp_0
lora_unet_double_blocks_14_img_mlp_2
lora_unet_double_blocks_14_img_mod_lin
lora_unet_double_blocks_14_txt_attn_proj
lora_unet_double_blocks_14_txt_attn_qkv
lora_unet_double_blocks_14_txt_mlp_0
lora_unet_double_blocks_14_txt_mlp_2
lora_unet_double_blocks_14_txt_mod_lin
lora_unet_double_blocks_15_img_attn_proj
lora_unet_double_blocks_15_img_attn_qkv
lora_unet_double_blocks_15_img_mlp_0
lora_unet_double_blocks_15_img_mlp_2
lora_unet_double_blocks_15_img_mod_lin
lora_unet_double_blocks_15_txt_attn_proj
lora_unet_double_blocks_15_txt_attn_qkv
lora_unet_double_blocks_15_txt_mlp_0
lora_unet_double_blocks_15_txt_mlp_2
lora_unet_double_blocks_15_txt_mod_lin
lora_unet_double_blocks_16_img_attn_proj
lora_unet_double_blocks_16_img_attn_qkv
lora_unet_double_blocks_16_img_mlp_0
lora_unet_double_blocks_16_img_mlp_2
lora_unet_double_blocks_16_img_mod_lin
lora_unet_double_blocks_16_txt_attn_proj
lora_unet_double_blocks_16_txt_attn_qkv
lora_unet_double_blocks_16_txt_mlp_0
lora_unet_double_blocks_16_txt_mlp_2
lora_unet_double_blocks_16_txt_mod_lin
lora_unet_double_blocks_17_img_attn_proj
lora_unet_double_blocks_17_img_attn_qkv
lora_unet_double_blocks_17_img_mlp_0
lora_unet_double_blocks_17_img_mlp_2
lora_unet_double_blocks_17_img_mod_lin
lora_unet_double_blocks_17_txt_attn_proj
lora_unet_double_blocks_17_txt_attn_qkv
lora_unet_double_blocks_17_txt_mlp_0
lora_unet_double_blocks_17_txt_mlp_2
lora_unet_double_blocks_17_txt_mod_lin
lora_unet_double_blocks_18_img_attn_proj
lora_unet_double_blocks_18_img_attn_qkv
lora_unet_double_blocks_18_img_mlp_0
lora_unet_double_blocks_18_img_mlp_2
lora_unet_double_blocks_18_img_mod_lin
lora_unet_double_blocks_18_txt_attn_proj
lora_unet_double_blocks_18_txt_attn_qkv
lora_unet_double_blocks_18_txt_mlp_0
lora_unet_double_blocks_18_txt_mlp_2
lora_unet_double_blocks_18_txt_mod_lin
lora_unet_double_blocks_1_img_attn_proj
lora_unet_double_blocks_1_img_attn_qkv
lora_unet_double_blocks_1_img_mlp_0
lora_unet_double_blocks_1_img_mlp_2
lora_unet_double_blocks_1_img_mod_lin
lora_unet_double_blocks_1_txt_attn_proj
lora_unet_double_blocks_1_txt_attn_qkv
lora_unet_double_blocks_1_txt_mlp_0
lora_unet_double_blocks_1_txt_mlp_2
lora_unet_double_blocks_1_txt_mod_lin
lora_unet_double_blocks_2_img_attn_proj
lora_unet_double_blocks_2_img_attn_qkv
lora_unet_double_blocks_2_img_mlp_0
lora_unet_double_blocks_2_img_mlp_2
lora_unet_double_blocks_2_img_mod_lin
lora_unet_double_blocks_2_txt_attn_proj
lora_unet_double_blocks_2_txt_attn_qkv
lora_unet_double_blocks_2_txt_mlp_0
lora_unet_double_blocks_2_txt_mlp_2
lora_unet_double_blocks_2_txt_mod_lin
lora_unet_double_blocks_3_img_attn_proj
lora_unet_double_blocks_3_img_attn_qkv
lora_unet_double_blocks_3_img_mlp_0
lora_unet_double_blocks_3_img_mlp_2
lora_unet_double_blocks_3_img_mod_lin
lora_unet_double_blocks_3_txt_attn_proj
lora_unet_double_blocks_3_txt_attn_qkv
lora_unet_double_blocks_3_txt_mlp_0
lora_unet_double_blocks_3_txt_mlp_2
lora_unet_double_blocks_3_txt_mod_lin
lora_unet_double_blocks_4_img_attn_proj
lora_unet_double_blocks_4_img_attn_qkv
lora_unet_double_blocks_4_img_mlp_0
lora_unet_double_blocks_4_img_mlp_2
lora_unet_double_blocks_4_img_mod_lin
lora_unet_double_blocks_4_txt_attn_proj
lora_unet_double_blocks_4_txt_attn_qkv
lora_unet_double_blocks_4_txt_mlp_0
lora_unet_double_blocks_4_txt_mlp_2
lora_unet_double_blocks_4_txt_mod_lin
lora_unet_double_blocks_5_img_attn_proj
lora_unet_double_blocks_5_img_attn_qkv
lora_unet_double_blocks_5_img_mlp_0
lora_unet_double_blocks_5_img_mlp_2
lora_unet_double_blocks_5_img_mod_lin
lora_unet_double_blocks_5_txt_attn_proj
lora_unet_double_blocks_5_txt_attn_qkv
lora_unet_double_blocks_5_txt_mlp_0
lora_unet_double_blocks_5_txt_mlp_2
lora_unet_double_blocks_5_txt_mod_lin
lora_unet_double_blocks_6_img_attn_proj
lora_unet_double_blocks_6_img_attn_qkv
lora_unet_double_blocks_6_img_mlp_0
lora_unet_double_blocks_6_img_mlp_2
lora_unet_double_blocks_6_img_mod_lin
lora_unet_double_blocks_6_txt_attn_proj
lora_unet_double_blocks_6_txt_attn_qkv
lora_unet_double_blocks_6_txt_mlp_0
lora_unet_double_blocks_6_txt_mlp_2
lora_unet_double_blocks_6_txt_mod_lin
lora_unet_double_blocks_7_img_attn_proj
lora_unet_double_blocks_7_img_attn_qkv
lora_unet_double_blocks_7_img_mlp_0
lora_unet_double_blocks_7_img_mlp_2
lora_unet_double_blocks_7_img_mod_lin
lora_unet_double_blocks_7_txt_attn_proj
lora_unet_double_blocks_7_txt_attn_qkv
lora_unet_double_blocks_7_txt_mlp_0
lora_unet_double_blocks_7_txt_mlp_2
lora_unet_double_blocks_7_txt_mod_lin
lora_unet_double_blocks_8_img_attn_proj
lora_unet_double_blocks_8_img_attn_qkv
lora_unet_double_blocks_8_img_mlp_0
lora_unet_double_blocks_8_img_mlp_2
lora_unet_double_blocks_8_img_mod_lin
lora_unet_double_blocks_8_txt_attn_proj
lora_unet_double_blocks_8_txt_attn_qkv
lora_unet_double_blocks_8_txt_mlp_0
lora_unet_double_blocks_8_txt_mlp_2
lora_unet_double_blocks_8_txt_mod_lin
lora_unet_double_blocks_9_img_attn_proj
lora_unet_double_blocks_9_img_attn_qkv
lora_unet_double_blocks_9_img_mlp_0
lora_unet_double_blocks_9_img_mlp_2
lora_unet_double_blocks_9_img_mod_lin
lora_unet_double_blocks_9_txt_attn_proj
lora_unet_double_blocks_9_txt_attn_qkv
lora_unet_double_blocks_9_txt_mlp_0
lora_unet_double_blocks_9_txt_mlp_2
lora_unet_double_blocks_9_txt_mod_lin
lora_unet_single_blocks_0_linear1
lora_unet_single_blocks_0_linear2
lora_unet_single_blocks_0_modulation_lin
lora_unet_single_blocks_10_linear1
lora_unet_single_blocks_10_linear2
lora_unet_single_blocks_10_modulation_lin
lora_unet_single_blocks_11_linear1
lora_unet_single_blocks_11_linear2
lora_unet_single_blocks_11_modulation_lin
lora_unet_single_blocks_12_linear1
lora_unet_single_blocks_12_linear2
lora_unet_single_blocks_12_modulation_lin
lora_unet_single_blocks_13_linear1
lora_unet_single_blocks_13_linear2
lora_unet_single_blocks_13_modulation_lin
lora_unet_single_blocks_14_linear1
lora_unet_single_blocks_14_linear2
lora_unet_single_blocks_14_modulation_lin
lora_unet_single_blocks_15_linear1
lora_unet_single_blocks_15_linear2
lora_unet_single_blocks_15_modulation_lin
lora_unet_single_blocks_16_linear1
lora_unet_single_blocks_16_linear2
lora_unet_single_blocks_16_modulation_lin
lora_unet_single_blocks_17_linear1
lora_unet_single_blocks_17_linear2
lora_unet_single_blocks_17_modulation_lin
lora_unet_single_blocks_18_linear1
lora_unet_single_blocks_18_linear2
lora_unet_single_blocks_18_modulation_lin
lora_unet_single_blocks_19_linear1
lora_unet_single_blocks_19_linear2
lora_unet_single_blocks_19_modulation_lin
lora_unet_single_blocks_1_linear1
lora_unet_single_blocks_1_linear2
lora_unet_single_blocks_1_modulation_lin
lora_unet_single_blocks_20_linear1
lora_unet_single_blocks_20_linear2
lora_unet_single_blocks_20_modulation_lin
lora_unet_single_blocks_21_linear1
lora_unet_single_blocks_21_linear2
lora_unet_single_blocks_21_modulation_lin
lora_unet_single_blocks_22_linear1
lora_unet_single_blocks_22_linear2
lora_unet_single_blocks_22_modulation_lin
lora_unet_single_blocks_23_linear1
lora_unet_single_blocks_23_linear2
lora_unet_single_blocks_23_modulation_lin
lora_unet_single_blocks_24_linear1
lora_unet_single_blocks_24_linear2
lora_unet_single_blocks_24_modulation_lin
lora_unet_single_blocks_25_linear1
lora_unet_single_blocks_25_linear2
lora_unet_single_blocks_25_modulation_lin
lora_unet_single_blocks_26_linear1
lora_unet_single_blocks_26_linear2
lora_unet_single_blocks_26_modulation_lin
lora_unet_single_blocks_27_linear1
lora_unet_single_blocks_27_linear2
lora_unet_single_blocks_27_modulation_lin
lora_unet_single_blocks_28_linear1
lora_unet_single_blocks_28_linear2
lora_unet_single_blocks_28_modulation_lin
lora_unet_single_blocks_29_linear1
lora_unet_single_blocks_29_linear2
lora_unet_single_blocks_29_modulation_lin
lora_unet_single_blocks_2_linear1
lora_unet_single_blocks_2_linear2
lora_unet_single_blocks_2_modulation_lin
lora_unet_single_blocks_30_linear1
lora_unet_single_blocks_30_linear2
lora_unet_single_blocks_30_modulation_lin
lora_unet_single_blocks_31_linear1
lora_unet_single_blocks_31_linear2
lora_unet_single_blocks_31_modulation_lin
lora_unet_single_blocks_32_linear1
lora_unet_single_blocks_32_linear2
lora_unet_single_blocks_32_modulation_lin
lora_unet_single_blocks_33_linear1
lora_unet_single_blocks_33_linear2
lora_unet_single_blocks_33_modulation_lin
lora_unet_single_blocks_34_linear1
lora_unet_single_blocks_34_linear2
lora_unet_single_blocks_34_modulation_lin
lora_unet_single_blocks_35_linear1
lora_unet_single_blocks_35_linear2
lora_unet_single_blocks_35_modulation_lin
lora_unet_single_blocks_36_linear1
lora_unet_single_blocks_36_linear2
lora_unet_single_blocks_36_modulation_lin
lora_unet_single_blocks_37_linear1
lora_unet_single_blocks_37_linear2
lora_unet_single_blocks_37_modulation_lin
lora_unet_single_blocks_3_linear1
lora_unet_single_blocks_3_linear2
lora_unet_single_blocks_3_modulation_lin
lora_unet_single_blocks_4_linear1
lora_unet_single_blocks_4_linear2
lora_unet_single_blocks_4_modulation_lin
lora_unet_single_blocks_5_linear1
lora_unet_single_blocks_5_linear2
lora_unet_single_blocks_5_modulation_lin
lora_unet_single_blocks_6_linear1
lora_unet_single_blocks_6_linear2
lora_unet_single_blocks_6_modulation_lin
lora_unet_single_blocks_7_linear1
lora_unet_single_blocks_7_linear2
lora_unet_single_blocks_7_modulation_lin
lora_unet_single_blocks_8_linear1
lora_unet_single_blocks_8_linear2
lora_unet_single_blocks_8_modulation_lin
lora_unet_single_blocks_9_linear1
lora_unet_single_blocks_9_linear2
lora_unet_single_blocks_9_modulation_lin
================================================================================
Pattern matching analysis:
ATTENTION (228 keys):
lora_unet_double_blocks_0_img_attn_proj.alpha
lora_unet_double_blocks_0_img_attn_proj.lora_down.weight
lora_unet_double_blocks_0_img_attn_proj.lora_up.weight
lora_unet_double_blocks_0_img_attn_qkv.alpha
lora_unet_double_blocks_0_img_attn_qkv.lora_down.weight
... and 223 more
MLP/FEEDFORWARD (228 keys):
lora_unet_double_blocks_0_img_mlp_0.alpha
lora_unet_double_blocks_0_img_mlp_0.lora_down.weight
lora_unet_double_blocks_0_img_mlp_0.lora_up.weight
lora_unet_double_blocks_0_img_mlp_2.alpha
lora_unet_double_blocks_0_img_mlp_2.lora_down.weight
... and 223 more
PROJECTION (114 keys):
lora_unet_double_blocks_0_img_attn_proj.alpha
lora_unet_double_blocks_0_img_attn_proj.lora_down.weight
lora_unet_double_blocks_0_img_attn_proj.lora_up.weight
lora_unet_double_blocks_0_txt_attn_proj.alpha
lora_unet_double_blocks_0_txt_attn_proj.lora_down.weight
... and 109 more
================================================================================
Architecture detection:
-> Likely a Flux/DiT architecture (double_blocks/single_blocks)
+136
View File
@@ -0,0 +1,136 @@
Analyzing LoRA: loras/Qwen-LoRA.safetensors
Total keys: 2160
Sample keys (first 20):
transformer_blocks.0.attn.add_k_proj.alpha
transformer_blocks.0.attn.add_k_proj.lora_down.weight
transformer_blocks.0.attn.add_k_proj.lora_up.weight
transformer_blocks.0.attn.add_q_proj.alpha
transformer_blocks.0.attn.add_q_proj.lora_down.weight
transformer_blocks.0.attn.add_q_proj.lora_up.weight
transformer_blocks.0.attn.add_v_proj.alpha
transformer_blocks.0.attn.add_v_proj.lora_down.weight
transformer_blocks.0.attn.add_v_proj.lora_up.weight
transformer_blocks.0.attn.to_add_out.alpha
transformer_blocks.0.attn.to_add_out.lora_down.weight
transformer_blocks.0.attn.to_add_out.lora_up.weight
transformer_blocks.0.attn.to_k.alpha
transformer_blocks.0.attn.to_k.lora_down.weight
transformer_blocks.0.attn.to_k.lora_up.weight
transformer_blocks.0.attn.to_out.0.alpha
transformer_blocks.0.attn.to_out.0.lora_down.weight
transformer_blocks.0.attn.to_out.0.lora_up.weight
transformer_blocks.0.attn.to_q.alpha
transformer_blocks.0.attn.to_q.lora_down.weight
================================================================================
Unique layer components found:
0
1
10
11
12
13
14
15
16
17
18
19
2
20
21
22
23
24
25
26
27
28
29
3
30
31
32
33
34
35
36
37
38
39
4
40
41
42
43
44
45
46
47
48
49
5
50
51
52
53
54
55
56
57
58
59
6
7
8
9
add_k_proj
add_q_proj
add_v_proj
attn
img_mlp
net
proj
to_add_out
to_k
to_out
to_q
to_v
transformer_blocks
txt_mlp
================================================================================
Pattern matching analysis:
ATTENTION (1440 keys):
transformer_blocks.0.attn.add_k_proj.alpha
transformer_blocks.0.attn.add_k_proj.lora_down.weight
transformer_blocks.0.attn.add_k_proj.lora_up.weight
transformer_blocks.0.attn.add_q_proj.alpha
transformer_blocks.0.attn.add_q_proj.lora_down.weight
... and 1435 more
MLP/FEEDFORWARD (720 keys):
transformer_blocks.0.img_mlp.net.0.proj.alpha
transformer_blocks.0.img_mlp.net.0.proj.lora_down.weight
transformer_blocks.0.img_mlp.net.0.proj.lora_up.weight
transformer_blocks.0.img_mlp.net.2.alpha
transformer_blocks.0.img_mlp.net.2.lora_down.weight
... and 715 more
PROJECTION (900 keys):
transformer_blocks.0.attn.add_k_proj.alpha
transformer_blocks.0.attn.add_k_proj.lora_down.weight
transformer_blocks.0.attn.add_k_proj.lora_up.weight
transformer_blocks.0.attn.add_q_proj.alpha
transformer_blocks.0.attn.add_q_proj.lora_down.weight
... and 895 more
================================================================================
Architecture detection:
-> Unknown architecture
+348
View File
@@ -0,0 +1,348 @@
Analyzing LoRA: loras/SD_1.5_LoRA.safetensors
Total keys: 834
Sample keys (first 20):
lora_unet_down_blocks_0_attentions_0_proj_in.alpha
lora_unet_down_blocks_0_attentions_0_proj_in.lora_down.weight
lora_unet_down_blocks_0_attentions_0_proj_in.lora_up.weight
lora_unet_down_blocks_0_attentions_0_proj_out.alpha
lora_unet_down_blocks_0_attentions_0_proj_out.lora_down.weight
lora_unet_down_blocks_0_attentions_0_proj_out.lora_up.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_k.alpha
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_k.lora_down.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_k.lora_up.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_out_0.alpha
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_out_0.lora_down.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_out_0.lora_up.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_q.alpha
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_q.lora_down.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_q.lora_up.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_v.alpha
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_v.lora_down.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_v.lora_up.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_k.alpha
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_k.lora_down.weight
================================================================================
Unique layer components found:
lora_unet_down_blocks_0_attentions_0_proj_in
lora_unet_down_blocks_0_attentions_0_proj_out
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_k
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_out_0
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_q
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn1_to_v
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_k
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_out_0
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_q
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_attn2_to_v
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_0_proj
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_2
lora_unet_down_blocks_0_attentions_1_proj_in
lora_unet_down_blocks_0_attentions_1_proj_out
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_k
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_out_0
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_q
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn1_to_v
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_k
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_out_0
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_q
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_attn2_to_v
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_ff_net_0_proj
lora_unet_down_blocks_0_attentions_1_transformer_blocks_0_ff_net_2
lora_unet_down_blocks_0_downsamplers_0_conv
lora_unet_down_blocks_0_resnets_0_conv1
lora_unet_down_blocks_0_resnets_0_conv2
lora_unet_down_blocks_0_resnets_0_time_emb_proj
lora_unet_down_blocks_0_resnets_1_conv1
lora_unet_down_blocks_0_resnets_1_conv2
lora_unet_down_blocks_0_resnets_1_time_emb_proj
lora_unet_down_blocks_1_attentions_0_proj_in
lora_unet_down_blocks_1_attentions_0_proj_out
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_k
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_out_0
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_q
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_v
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn2_to_k
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn2_to_out_0
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn2_to_q
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn2_to_v
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_ff_net_0_proj
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_ff_net_2
lora_unet_down_blocks_1_attentions_1_proj_in
lora_unet_down_blocks_1_attentions_1_proj_out
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_attn1_to_k
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_attn1_to_out_0
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_attn1_to_q
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_attn1_to_v
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_attn2_to_k
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_attn2_to_out_0
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_attn2_to_q
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_attn2_to_v
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_ff_net_0_proj
lora_unet_down_blocks_1_attentions_1_transformer_blocks_0_ff_net_2
lora_unet_down_blocks_1_downsamplers_0_conv
lora_unet_down_blocks_1_resnets_0_conv1
lora_unet_down_blocks_1_resnets_0_conv2
lora_unet_down_blocks_1_resnets_0_conv_shortcut
lora_unet_down_blocks_1_resnets_0_time_emb_proj
lora_unet_down_blocks_1_resnets_1_conv1
lora_unet_down_blocks_1_resnets_1_conv2
lora_unet_down_blocks_1_resnets_1_time_emb_proj
lora_unet_down_blocks_2_attentions_0_proj_in
lora_unet_down_blocks_2_attentions_0_proj_out
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_attn1_to_k
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_attn1_to_out_0
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_attn1_to_q
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_attn1_to_v
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_attn2_to_k
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_attn2_to_out_0
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_attn2_to_q
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_attn2_to_v
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_ff_net_0_proj
lora_unet_down_blocks_2_attentions_0_transformer_blocks_0_ff_net_2
lora_unet_down_blocks_2_attentions_1_proj_in
lora_unet_down_blocks_2_attentions_1_proj_out
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_attn1_to_k
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_attn1_to_out_0
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_attn1_to_q
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_attn1_to_v
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_attn2_to_k
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_attn2_to_out_0
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_attn2_to_q
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_attn2_to_v
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_ff_net_0_proj
lora_unet_down_blocks_2_attentions_1_transformer_blocks_0_ff_net_2
lora_unet_down_blocks_2_downsamplers_0_conv
lora_unet_down_blocks_2_resnets_0_conv1
lora_unet_down_blocks_2_resnets_0_conv2
lora_unet_down_blocks_2_resnets_0_conv_shortcut
lora_unet_down_blocks_2_resnets_0_time_emb_proj
lora_unet_down_blocks_2_resnets_1_conv1
lora_unet_down_blocks_2_resnets_1_conv2
lora_unet_down_blocks_2_resnets_1_time_emb_proj
lora_unet_down_blocks_3_resnets_0_conv1
lora_unet_down_blocks_3_resnets_0_conv2
lora_unet_down_blocks_3_resnets_0_time_emb_proj
lora_unet_down_blocks_3_resnets_1_conv1
lora_unet_down_blocks_3_resnets_1_conv2
lora_unet_down_blocks_3_resnets_1_time_emb_proj
lora_unet_mid_block_attentions_0_proj_in
lora_unet_mid_block_attentions_0_proj_out
lora_unet_mid_block_attentions_0_transformer_blocks_0_attn1_to_k
lora_unet_mid_block_attentions_0_transformer_blocks_0_attn1_to_out_0
lora_unet_mid_block_attentions_0_transformer_blocks_0_attn1_to_q
lora_unet_mid_block_attentions_0_transformer_blocks_0_attn1_to_v
lora_unet_mid_block_attentions_0_transformer_blocks_0_attn2_to_k
lora_unet_mid_block_attentions_0_transformer_blocks_0_attn2_to_out_0
lora_unet_mid_block_attentions_0_transformer_blocks_0_attn2_to_q
lora_unet_mid_block_attentions_0_transformer_blocks_0_attn2_to_v
lora_unet_mid_block_attentions_0_transformer_blocks_0_ff_net_0_proj
lora_unet_mid_block_attentions_0_transformer_blocks_0_ff_net_2
lora_unet_mid_block_resnets_0_conv1
lora_unet_mid_block_resnets_0_conv2
lora_unet_mid_block_resnets_0_time_emb_proj
lora_unet_mid_block_resnets_1_conv1
lora_unet_mid_block_resnets_1_conv2
lora_unet_mid_block_resnets_1_time_emb_proj
lora_unet_up_blocks_0_resnets_0_conv1
lora_unet_up_blocks_0_resnets_0_conv2
lora_unet_up_blocks_0_resnets_0_conv_shortcut
lora_unet_up_blocks_0_resnets_0_time_emb_proj
lora_unet_up_blocks_0_resnets_1_conv1
lora_unet_up_blocks_0_resnets_1_conv2
lora_unet_up_blocks_0_resnets_1_conv_shortcut
lora_unet_up_blocks_0_resnets_1_time_emb_proj
lora_unet_up_blocks_0_resnets_2_conv1
lora_unet_up_blocks_0_resnets_2_conv2
lora_unet_up_blocks_0_resnets_2_conv_shortcut
lora_unet_up_blocks_0_resnets_2_time_emb_proj
lora_unet_up_blocks_0_upsamplers_0_conv
lora_unet_up_blocks_1_attentions_0_proj_in
lora_unet_up_blocks_1_attentions_0_proj_out
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_1_attentions_1_proj_in
lora_unet_up_blocks_1_attentions_1_proj_out
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_1_attentions_2_proj_in
lora_unet_up_blocks_1_attentions_2_proj_out
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_1_resnets_0_conv1
lora_unet_up_blocks_1_resnets_0_conv2
lora_unet_up_blocks_1_resnets_0_conv_shortcut
lora_unet_up_blocks_1_resnets_0_time_emb_proj
lora_unet_up_blocks_1_resnets_1_conv1
lora_unet_up_blocks_1_resnets_1_conv2
lora_unet_up_blocks_1_resnets_1_conv_shortcut
lora_unet_up_blocks_1_resnets_1_time_emb_proj
lora_unet_up_blocks_1_resnets_2_conv1
lora_unet_up_blocks_1_resnets_2_conv2
lora_unet_up_blocks_1_resnets_2_conv_shortcut
lora_unet_up_blocks_1_resnets_2_time_emb_proj
lora_unet_up_blocks_1_upsamplers_0_conv
lora_unet_up_blocks_2_attentions_0_proj_in
lora_unet_up_blocks_2_attentions_0_proj_out
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_2_attentions_0_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_2_attentions_1_proj_in
lora_unet_up_blocks_2_attentions_1_proj_out
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_2_attentions_1_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_2_attentions_2_proj_in
lora_unet_up_blocks_2_attentions_2_proj_out
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_2_attentions_2_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_2_resnets_0_conv1
lora_unet_up_blocks_2_resnets_0_conv2
lora_unet_up_blocks_2_resnets_0_conv_shortcut
lora_unet_up_blocks_2_resnets_0_time_emb_proj
lora_unet_up_blocks_2_resnets_1_conv1
lora_unet_up_blocks_2_resnets_1_conv2
lora_unet_up_blocks_2_resnets_1_conv_shortcut
lora_unet_up_blocks_2_resnets_1_time_emb_proj
lora_unet_up_blocks_2_resnets_2_conv1
lora_unet_up_blocks_2_resnets_2_conv2
lora_unet_up_blocks_2_resnets_2_conv_shortcut
lora_unet_up_blocks_2_resnets_2_time_emb_proj
lora_unet_up_blocks_2_upsamplers_0_conv
lora_unet_up_blocks_3_attentions_0_proj_in
lora_unet_up_blocks_3_attentions_0_proj_out
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_3_attentions_0_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_3_attentions_1_proj_in
lora_unet_up_blocks_3_attentions_1_proj_out
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_3_attentions_1_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_3_attentions_2_proj_in
lora_unet_up_blocks_3_attentions_2_proj_out
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_3_attentions_2_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_3_resnets_0_conv1
lora_unet_up_blocks_3_resnets_0_conv2
lora_unet_up_blocks_3_resnets_0_conv_shortcut
lora_unet_up_blocks_3_resnets_0_time_emb_proj
lora_unet_up_blocks_3_resnets_1_conv1
lora_unet_up_blocks_3_resnets_1_conv2
lora_unet_up_blocks_3_resnets_1_conv_shortcut
lora_unet_up_blocks_3_resnets_1_time_emb_proj
lora_unet_up_blocks_3_resnets_2_conv1
lora_unet_up_blocks_3_resnets_2_conv2
lora_unet_up_blocks_3_resnets_2_conv_shortcut
lora_unet_up_blocks_3_resnets_2_time_emb_proj
================================================================================
Pattern matching analysis:
ATTENTION (576 keys):
lora_unet_down_blocks_0_attentions_0_proj_in.alpha
lora_unet_down_blocks_0_attentions_0_proj_in.lora_down.weight
lora_unet_down_blocks_0_attentions_0_proj_in.lora_up.weight
lora_unet_down_blocks_0_attentions_0_proj_out.alpha
lora_unet_down_blocks_0_attentions_0_proj_out.lora_down.weight
... and 571 more
MLP/FEEDFORWARD (96 keys):
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_0_proj.alpha
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_0_proj.lora_down.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_0_proj.lora_up.weight
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_2.alpha
lora_unet_down_blocks_0_attentions_0_transformer_blocks_0_ff_net_2.lora_down.weight
... and 91 more
PROJECTION (210 keys):
lora_unet_down_blocks_0_attentions_0_proj_in.alpha
lora_unet_down_blocks_0_attentions_0_proj_in.lora_down.weight
lora_unet_down_blocks_0_attentions_0_proj_in.lora_up.weight
lora_unet_down_blocks_0_attentions_0_proj_out.alpha
lora_unet_down_blocks_0_attentions_0_proj_out.lora_down.weight
... and 205 more
EMBEDDING (66 keys):
lora_unet_down_blocks_0_resnets_0_time_emb_proj.alpha
lora_unet_down_blocks_0_resnets_0_time_emb_proj.lora_down.weight
lora_unet_down_blocks_0_resnets_0_time_emb_proj.lora_up.weight
lora_unet_down_blocks_0_resnets_1_time_emb_proj.alpha
lora_unet_down_blocks_0_resnets_1_time_emb_proj.lora_down.weight
... and 61 more
================================================================================
Architecture detection:
-> Unknown architecture
+785
View File
@@ -0,0 +1,785 @@
Analyzing LoRA: loras/SDXL-LoRA.safetensors
Total keys: 2888
Sample keys (first 20):
lora_unet_down_blocks_1_attentions_0_proj_in.alpha
lora_unet_down_blocks_1_attentions_0_proj_in.dora_scale
lora_unet_down_blocks_1_attentions_0_proj_in.lora_down.weight
lora_unet_down_blocks_1_attentions_0_proj_in.lora_up.weight
lora_unet_down_blocks_1_attentions_0_proj_out.alpha
lora_unet_down_blocks_1_attentions_0_proj_out.dora_scale
lora_unet_down_blocks_1_attentions_0_proj_out.lora_down.weight
lora_unet_down_blocks_1_attentions_0_proj_out.lora_up.weight
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_k.alpha
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_k.dora_scale
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_k.lora_down.weight
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_k.lora_up.weight
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_out_0.alpha
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_out_0.dora_scale
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_out_0.lora_down.weight
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_out_0.lora_up.weight
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_q.alpha
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_q.dora_scale
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_q.lora_down.weight
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_q.lora_up.weight
================================================================================
Unique layer components found:
dora_scale
lora_unet_down_blocks_1_attentions_0_proj_in
lora_unet_down_blocks_1_attentions_0_proj_out
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_k
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_out_0
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_attn1_to_q
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lora_unet_up_blocks_0_attentions_1_transformer_blocks_3_attn1_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_3_attn2_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_3_attn2_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_3_attn2_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_3_attn2_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_3_ff_net_0_proj
lora_unet_up_blocks_0_attentions_1_transformer_blocks_3_ff_net_2
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_attn1_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_attn1_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_attn1_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_attn1_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_attn2_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_attn2_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_attn2_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_attn2_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_ff_net_0_proj
lora_unet_up_blocks_0_attentions_1_transformer_blocks_4_ff_net_2
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_attn1_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_attn1_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_attn1_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_attn1_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_attn2_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_attn2_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_attn2_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_attn2_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_ff_net_0_proj
lora_unet_up_blocks_0_attentions_1_transformer_blocks_5_ff_net_2
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_attn1_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_attn1_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_attn1_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_attn1_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_attn2_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_attn2_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_attn2_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_attn2_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_ff_net_0_proj
lora_unet_up_blocks_0_attentions_1_transformer_blocks_6_ff_net_2
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_attn1_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_attn1_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_attn1_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_attn1_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_attn2_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_attn2_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_attn2_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_attn2_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_ff_net_0_proj
lora_unet_up_blocks_0_attentions_1_transformer_blocks_7_ff_net_2
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_attn1_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_attn1_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_attn1_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_attn1_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_attn2_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_attn2_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_attn2_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_attn2_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_ff_net_0_proj
lora_unet_up_blocks_0_attentions_1_transformer_blocks_8_ff_net_2
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_attn1_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_attn1_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_attn1_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_attn1_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_attn2_to_k
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_attn2_to_out_0
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_attn2_to_q
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_attn2_to_v
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_ff_net_0_proj
lora_unet_up_blocks_0_attentions_1_transformer_blocks_9_ff_net_2
lora_unet_up_blocks_0_attentions_2_proj_in
lora_unet_up_blocks_0_attentions_2_proj_out
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_1_ff_net_2
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_2_ff_net_2
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_3_ff_net_2
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_4_ff_net_2
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_5_ff_net_2
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_6_ff_net_2
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_7_ff_net_2
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_8_ff_net_2
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_attn1_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_attn1_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_attn1_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_attn1_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_attn2_to_k
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_attn2_to_out_0
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_attn2_to_q
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_attn2_to_v
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_ff_net_0_proj
lora_unet_up_blocks_0_attentions_2_transformer_blocks_9_ff_net_2
lora_unet_up_blocks_1_attentions_0_proj_in
lora_unet_up_blocks_1_attentions_0_proj_out
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_1_attentions_0_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_attn1_to_k
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_attn1_to_out_0
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_attn1_to_q
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_attn1_to_v
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_attn2_to_k
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_attn2_to_out_0
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_attn2_to_q
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_attn2_to_v
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_ff_net_0_proj
lora_unet_up_blocks_1_attentions_0_transformer_blocks_1_ff_net_2
lora_unet_up_blocks_1_attentions_1_proj_in
lora_unet_up_blocks_1_attentions_1_proj_out
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_1_attentions_1_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_attn1_to_k
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_attn1_to_out_0
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_attn1_to_q
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_attn1_to_v
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_attn2_to_k
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_attn2_to_out_0
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_attn2_to_q
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_attn2_to_v
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_ff_net_0_proj
lora_unet_up_blocks_1_attentions_1_transformer_blocks_1_ff_net_2
lora_unet_up_blocks_1_attentions_2_proj_in
lora_unet_up_blocks_1_attentions_2_proj_out
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn1_to_k
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn1_to_out_0
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn1_to_q
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn1_to_v
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn2_to_k
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn2_to_out_0
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn2_to_q
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_attn2_to_v
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_ff_net_0_proj
lora_unet_up_blocks_1_attentions_2_transformer_blocks_0_ff_net_2
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_attn1_to_k
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_attn1_to_out_0
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_attn1_to_q
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_attn1_to_v
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_attn2_to_k
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_attn2_to_out_0
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_attn2_to_q
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_attn2_to_v
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_ff_net_0_proj
lora_unet_up_blocks_1_attentions_2_transformer_blocks_1_ff_net_2
================================================================================
Pattern matching analysis:
ATTENTION (2888 keys):
lora_unet_down_blocks_1_attentions_0_proj_in.alpha
lora_unet_down_blocks_1_attentions_0_proj_in.dora_scale
lora_unet_down_blocks_1_attentions_0_proj_in.lora_down.weight
lora_unet_down_blocks_1_attentions_0_proj_in.lora_up.weight
lora_unet_down_blocks_1_attentions_0_proj_out.alpha
... and 2883 more
MLP/FEEDFORWARD (560 keys):
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_ff_net_0_proj.alpha
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_ff_net_0_proj.dora_scale
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_ff_net_0_proj.lora_down.weight
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_ff_net_0_proj.lora_up.weight
lora_unet_down_blocks_1_attentions_0_transformer_blocks_0_ff_net_2.alpha
... and 555 more
PROJECTION (368 keys):
lora_unet_down_blocks_1_attentions_0_proj_in.alpha
lora_unet_down_blocks_1_attentions_0_proj_in.dora_scale
lora_unet_down_blocks_1_attentions_0_proj_in.lora_down.weight
lora_unet_down_blocks_1_attentions_0_proj_in.lora_up.weight
lora_unet_down_blocks_1_attentions_0_proj_out.alpha
... and 363 more
================================================================================
Architecture detection:
-> Unknown architecture
+105
View File
@@ -0,0 +1,105 @@
Analyzing LoRA: LoRA/WAN_2_2-LoRA.safetensors
Total keys: 800
Sample keys (first 20):
diffusion_model.blocks.0.cross_attn.k.lora_A.weight
diffusion_model.blocks.0.cross_attn.k.lora_B.weight
diffusion_model.blocks.0.cross_attn.o.lora_A.weight
diffusion_model.blocks.0.cross_attn.o.lora_B.weight
diffusion_model.blocks.0.cross_attn.q.lora_A.weight
diffusion_model.blocks.0.cross_attn.q.lora_B.weight
diffusion_model.blocks.0.cross_attn.v.lora_A.weight
diffusion_model.blocks.0.cross_attn.v.lora_B.weight
diffusion_model.blocks.0.ffn.0.lora_A.weight
diffusion_model.blocks.0.ffn.0.lora_B.weight
diffusion_model.blocks.0.ffn.2.lora_A.weight
diffusion_model.blocks.0.ffn.2.lora_B.weight
diffusion_model.blocks.0.self_attn.k.lora_A.weight
diffusion_model.blocks.0.self_attn.k.lora_B.weight
diffusion_model.blocks.0.self_attn.o.lora_A.weight
diffusion_model.blocks.0.self_attn.o.lora_B.weight
diffusion_model.blocks.0.self_attn.q.lora_A.weight
diffusion_model.blocks.0.self_attn.q.lora_B.weight
diffusion_model.blocks.0.self_attn.v.lora_A.weight
diffusion_model.blocks.0.self_attn.v.lora_B.weight
================================================================================
Unique layer components found:
0
1
10
11
12
13
14
15
16
17
18
19
2
20
21
22
23
24
25
26
27
28
29
3
30
31
32
33
34
35
36
37
38
39
4
5
6
7
8
9
blocks
cross_attn
diffusion_model
ffn
k
lora_A
lora_B
o
q
self_attn
v
================================================================================
Pattern matching analysis:
ATTENTION (640 keys):
diffusion_model.blocks.0.cross_attn.k.lora_A.weight
diffusion_model.blocks.0.cross_attn.k.lora_B.weight
diffusion_model.blocks.0.cross_attn.o.lora_A.weight
diffusion_model.blocks.0.cross_attn.o.lora_B.weight
diffusion_model.blocks.0.cross_attn.q.lora_A.weight
... and 635 more
MLP/FEEDFORWARD (800 keys):
diffusion_model.blocks.0.cross_attn.k.lora_A.weight
diffusion_model.blocks.0.cross_attn.k.lora_B.weight
diffusion_model.blocks.0.cross_attn.o.lora_A.weight
diffusion_model.blocks.0.cross_attn.o.lora_B.weight
diffusion_model.blocks.0.cross_attn.q.lora_A.weight
... and 795 more
================================================================================
Architecture detection:
-> Unknown architecture
+106
View File
@@ -0,0 +1,106 @@
Analyzing LoRA: loras/zImage-LoRA.safetensors
Total keys: 480
Sample keys (first 20):
diffusion_model.layers.0.adaLN_modulation.0.lora_A.weight
diffusion_model.layers.0.adaLN_modulation.0.lora_B.weight
diffusion_model.layers.0.attention.to_k.lora_A.weight
diffusion_model.layers.0.attention.to_k.lora_B.weight
diffusion_model.layers.0.attention.to_out.0.lora_A.weight
diffusion_model.layers.0.attention.to_out.0.lora_B.weight
diffusion_model.layers.0.attention.to_q.lora_A.weight
diffusion_model.layers.0.attention.to_q.lora_B.weight
diffusion_model.layers.0.attention.to_v.lora_A.weight
diffusion_model.layers.0.attention.to_v.lora_B.weight
diffusion_model.layers.0.feed_forward.w1.lora_A.weight
diffusion_model.layers.0.feed_forward.w1.lora_B.weight
diffusion_model.layers.0.feed_forward.w2.lora_A.weight
diffusion_model.layers.0.feed_forward.w2.lora_B.weight
diffusion_model.layers.0.feed_forward.w3.lora_A.weight
diffusion_model.layers.0.feed_forward.w3.lora_B.weight
diffusion_model.layers.1.adaLN_modulation.0.lora_A.weight
diffusion_model.layers.1.adaLN_modulation.0.lora_B.weight
diffusion_model.layers.1.attention.to_k.lora_A.weight
diffusion_model.layers.1.attention.to_k.lora_B.weight
================================================================================
Unique layer components found:
0
1
10
11
12
13
14
15
16
17
18
19
2
20
21
22
23
24
25
26
27
28
29
3
4
5
6
7
8
9
adaLN_modulation
attention
diffusion_model
feed_forward
layers
lora_A
lora_B
to_k
to_out
to_q
to_v
w1
w2
w3
================================================================================
Pattern matching analysis:
ATTENTION (240 keys):
diffusion_model.layers.0.attention.to_k.lora_A.weight
diffusion_model.layers.0.attention.to_k.lora_B.weight
diffusion_model.layers.0.attention.to_out.0.lora_A.weight
diffusion_model.layers.0.attention.to_out.0.lora_B.weight
diffusion_model.layers.0.attention.to_q.lora_A.weight
... and 235 more
MLP/FEEDFORWARD (480 keys):
diffusion_model.layers.0.adaLN_modulation.0.lora_A.weight
diffusion_model.layers.0.adaLN_modulation.0.lora_B.weight
diffusion_model.layers.0.attention.to_k.lora_A.weight
diffusion_model.layers.0.attention.to_k.lora_B.weight
diffusion_model.layers.0.attention.to_out.0.lora_A.weight
... and 475 more
NORM (60 keys):
diffusion_model.layers.0.adaLN_modulation.0.lora_A.weight
diffusion_model.layers.0.adaLN_modulation.0.lora_B.weight
diffusion_model.layers.1.adaLN_modulation.0.lora_A.weight
diffusion_model.layers.1.adaLN_modulation.0.lora_B.weight
diffusion_model.layers.10.adaLN_modulation.0.lora_A.weight
... and 55 more
================================================================================
Architecture detection:
-> Unknown architecture