UnifiedHorusRA commited on
Commit
ae6791a
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1 Parent(s): b606140

Sync 5 new model versions from Civitai (Batch 1/2)

Browse files
Aether_Exposure_-_Wan_2_2_t2v_LoRA/Wan_Video_2_2_T2V-A14B/Aether_Exposure_high_noise_LoRA_wan22_14b_v1.safetensors ADDED
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Aether_Exposure_-_Wan_2_2_t2v_LoRA/Wan_Video_2_2_T2V-A14B/Aether_Exposure_low_noise_LoRA_wan22_14b_v1.safetensors ADDED
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Claudette/Wan_Video_2_2_T2V-A14B/Claudette_001.safetensors ADDED
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README.md CHANGED
@@ -925,5 +925,29 @@ A collection of models downloaded from Civitai. Click on a card to browse the fi
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  <p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">playtime_ai</p>
926
  </div>
927
  </a></div>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
928
  <!--CIVITAI_MODEL_GALLERY_END-->
929
  </div>
 
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  <p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">playtime_ai</p>
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  </div>
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  </a></div>
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+ <div style="display: flex; flex-direction: column;"><a href="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2V/tree/main/Aether_Exposure_-_Wan_2_2_t2v_LoRA" style="display: block; position: relative; width: 200px; height: 250px; border-radius: 8px; overflow: hidden; text-decoration: none; color: white; background-image: url('https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/C79724D5B2632747263D24B9CA7F65B1117A0EF94BAB641BFDE471C1A50F98BC_4ad1f516.gif'); background-size: cover; background-position: center; box-shadow: 0 4px 6px -1px rgba(0,0,0,0.1);">
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+ <div style="position: absolute; top: 0; left: 0; right: 0; bottom: 0; background: linear-gradient(to top, rgba(0,0,0,0.85) 0%, rgba(0,0,0,0) 60%); display: flex; flex-direction: column; justify-content: flex-end; padding: 12px; text-align: left;">
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+ <h3 style="margin: 0; font-size: 1.1em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">Aether Exposure - Wan 2.2 t2v LoRA</h3>
931
+ <p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">joachim_s</p>
932
+ </div>
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+ </a></div>
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+ <div style="display: flex; flex-direction: column;"><a href="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2V/tree/main/Claudette" style="display: block; position: relative; width: 200px; height: 250px; border-radius: 8px; overflow: hidden; text-decoration: none; color: white; background-image: url('https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_564f1f9b.jpg'); background-size: cover; background-position: center; box-shadow: 0 4px 6px -1px rgba(0,0,0,0.1);">
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+ <div style="position: absolute; top: 0; left: 0; right: 0; bottom: 0; background: linear-gradient(to top, rgba(0,0,0,0.85) 0%, rgba(0,0,0,0) 60%); display: flex; flex-direction: column; justify-content: flex-end; padding: 12px; text-align: left;">
936
+ <h3 style="margin: 0; font-size: 1.1em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">Claudette</h3>
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+ <p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">Alvareez</p>
938
+ </div>
939
+ </a><details style="width: 200px; margin-top: 8px;">
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+ <summary style="cursor: pointer; font-size: 0.9em; text-align: center; padding: 4px; border: 1px solid #d1d5db; border-radius: 6px;">View 9 More Previews</summary>
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+ <div style="padding-top: 8px;"><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_3b1a2c9d.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_3e3fd52b.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_362cff10.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_e0221d3f.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_6c25e4a1.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_11dd7649.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_5904c11f.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_abdab221.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE_f29b0366.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /></div>
942
+ </details></div>
943
+ <div style="display: flex; flex-direction: column;"><a href="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2V/tree/main/WAN2_2_T2I_HIGH_LOW_Noise_-_Polyhedron_all_Perfect_skin_Perfect_hands_Perfect_eyes_m_f" style="display: block; position: relative; width: 200px; height: 250px; border-radius: 8px; overflow: hidden; text-decoration: none; color: white; background-image: url('https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/A88E8BA6506FCEA1FC3D73392B4F3A7FEA0B2BFFADFEB7B164FEC682568472F8_9f13b30b.jpg'); background-size: cover; background-position: center; box-shadow: 0 4px 6px -1px rgba(0,0,0,0.1);">
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+ <div style="position: absolute; top: 0; left: 0; right: 0; bottom: 0; background: linear-gradient(to top, rgba(0,0,0,0.85) 0%, rgba(0,0,0,0) 60%); display: flex; flex-direction: column; justify-content: flex-end; padding: 12px; text-align: left;">
945
+ <h3 style="margin: 0; font-size: 1.1em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">WAN2.2. T2I (HIGH/LOW Noise) -– Polyhedron_all: Perfect skin. Perfect hands. Perfect eyes. (m/f)</h3>
946
+ <p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">Polyhedron_AI</p>
947
+ </div>
948
+ </a><details style="width: 200px; margin-top: 8px;">
949
+ <summary style="cursor: pointer; font-size: 0.9em; text-align: center; padding: 4px; border: 1px solid #d1d5db; border-radius: 6px;">View 3 More Previews</summary>
950
+ <div style="padding-top: 8px;"><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/A88E8BA6506FCEA1FC3D73392B4F3A7FEA0B2BFFADFEB7B164FEC682568472F8_6225eb0c.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/A88E8BA6506FCEA1FC3D73392B4F3A7FEA0B2BFFADFEB7B164FEC682568472F8_50c14dcf.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.2T2Vclass/resolve/main/A88E8BA6506FCEA1FC3D73392B4F3A7FEA0B2BFFADFEB7B164FEC682568472F8_2a6d206a.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /></div>
951
+ </details></div>
952
  <!--CIVITAI_MODEL_GALLERY_END-->
953
  </div>
WAN2_2_T2I_HIGH_LOW_Noise_-_Polyhedron_all_Perfect_skin_Perfect_hands_Perfect_eyes_m_f/Wan_Video_2_2_T2V-A14B/wan2.2_polyhedron_all_high_noise_FULL.safetensors ADDED
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WAN2_2_T2I_HIGH_LOW_Noise_-_Polyhedron_all_Perfect_skin_Perfect_hands_Perfect_eyes_m_f/Wan_Video_2_2_T2V-A14B/wan2.2_polyhedron_all_low_noise_low_noise.safetensors ADDED
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Wan_Video_2_2_T2V-A14B_info.md CHANGED
@@ -10011,4 +10011,276 @@ For v2, I switched my training method entirely and also added in regularization
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  * **Size**: 585.10 MB
10012
  * **Hash (AutoV2)**: `A77366E7EC`
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  * **Hash (SHA256)**: `A77366E7ECC36E977270165169B48BC3AB0F33FC90DA1747ABC17E9D698A76A5`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10014
  ---
 
10011
  * **Size**: 585.10 MB
10012
  * **Hash (AutoV2)**: `A77366E7EC`
10013
  * **Hash (SHA256)**: `A77366E7ECC36E977270165169B48BC3AB0F33FC90DA1747ABC17E9D698A76A5`
10014
+ ---
10015
+
10016
+ ---
10017
+ # Aether Exposure - Wan 2.2 t2v LoRA (Version: v1.0 high noise)
10018
+ **Creator**: [joachim_s](https://civitai.com/user/joachim_s)
10019
+ **Type**: LORA
10020
+ **Base Model**: Wan Video 2.2 T2V-A14B
10021
+ **Version Uploaded**: 2025-10-10
10022
+ **Trigger Words**: `double exposure of a [subject] and a [context], [white/black] background`
10023
+ **Civitai Model ID**: 2032129
10024
+ **Civitai Version ID**: 2301137
10025
+ **Stats (at time of fetch for this version)**:
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+ * Downloads: 10
10027
+ * Rating: 0.0 (0 ratings)
10028
+ * Favorites: N/A
10029
+ ---
10030
+ ## 📄 Description (Parent Model)
10031
+ 👉
10032
+ Join my Discord
10033
+ for help, prompt design and news on upcoming LoRAs
10034
+ 💫
10035
+ Aether Exposure – Double Exposure LoRA for Subjects and Environments
10036
+ (t2v)
10037
+ Aether Exposure is a first version of a paired LoRA set (low and high noise) that creates layered double exposure compositions — blending a
10038
+ human subject
10039
+ with a landscape, city or other background.
10040
+ Trained specifically for silhouette separation and coherent overlay, it’s ideal for stylized, surreal storytelling sequences focused on
10041
+ people
10042
+ . Also works great to generate single one frames double exposure images. Best compositional output there is.
10043
+ 💬
10044
+ Default Trigger Phrase
10045
+ Use this exact format to trigger the effect — then insert your subject and background context:
10046
+ double exposure of a [subject] and a [context], [white/black] background
10047
+ Prompt example:
10048
+ double exposure of a woman and a forest, black background
10049
+ You can also experiment with different types of motion applied to either the subject or the background context:
10050
+ Example:
10051
+ double exposure of a turning woman and a panning over a forest, black background
10052
+ 🧠
10053
+ How to Use
10054
+ (t2v)
10055
+ • Works best with either black or white backgrounds
10056
+ • Combine with camera movement (better controlled) motion
10057
+ ⚙️
10058
+ Inference Settings
10059
+
10060
+ Mode:
10061
+ text-to-video
10062
+ (t2v)
10063
+
10064
+ Model:
10065
+ Wan 2.2 14B
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+
10067
+ Resolution:
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+ 480–1024px (approx. 720p)
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+
10070
+ FPS:
10071
+ 16-24
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+
10073
+ Steps:
10074
+ 20 (10 steps each low and high noise)
10075
+
10076
+ CFG:
10077
+ 3.5
10078
+
10079
+ Clip length:
10080
+ 3–5 seconds
10081
+ (73–121 frames)
10082
+ Thanks to
10083
+ @masslevel
10084
+ for contributing videos!
10085
+ https://tensor.art/u/635897593804625782
10086
+ ## Civitai Links
10087
+ * **[🔗 View This Version on Civitai →](https://civitai.com/models/2032129?modelVersionId=2301137)**
10088
+ * [View Full Model Page →](https://civitai.com/models/2032129)
10089
+ * [View Creator Profile →](https://civitai.com/user/joachim_s)
10090
+ ---
10091
+ ## File Information
10092
+
10093
+ * **Primary Filename (Civitai)**: `Aether_Exposure_high_noise_LoRA_wan22_14b_v1.safetensors`
10094
+ * **Size**: 292.59 MB
10095
+ * **Hash (AutoV2)**: `C79724D5B2`
10096
+ * **Hash (SHA256)**: `C79724D5B2632747263D24B9CA7F65B1117A0EF94BAB641BFDE471C1A50F98BC`
10097
+ ---
10098
+
10099
+ ---
10100
+ # Aether Exposure - Wan 2.2 t2v LoRA (Version: v1.0 low noise)
10101
+ **Creator**: [joachim_s](https://civitai.com/user/joachim_s)
10102
+ **Type**: LORA
10103
+ **Base Model**: Wan Video 2.2 T2V-A14B
10104
+ **Version Uploaded**: 2025-10-10
10105
+ **Trigger Words**: `double exposure of a [subject] and a [context], [white/black] background`
10106
+ **Civitai Model ID**: 2032129
10107
+ **Civitai Version ID**: 2299874
10108
+ **Stats (at time of fetch for this version)**:
10109
+ * Downloads: 71
10110
+ * Rating: 0.0 (0 ratings)
10111
+ * Favorites: N/A
10112
+ ---
10113
+ ## 📄 Description (Parent Model)
10114
+ 👉
10115
+ Join my Discord
10116
+ for help, prompt design and news on upcoming LoRAs
10117
+ 💫
10118
+ Aether Exposure – Double Exposure LoRA for Subjects and Environments
10119
+ (t2v)
10120
+ Aether Exposure is a first version of a paired LoRA set (low and high noise) that creates layered double exposure compositions — blending a
10121
+ human subject
10122
+ with a landscape, city or other background.
10123
+ Trained specifically for silhouette separation and coherent overlay, it’s ideal for stylized, surreal storytelling sequences focused on
10124
+ people
10125
+ . Also works great to generate single one frames double exposure images. Best compositional output there is.
10126
+ 💬
10127
+ Default Trigger Phrase
10128
+ Use this exact format to trigger the effect — then insert your subject and background context:
10129
+ double exposure of a [subject] and a [context], [white/black] background
10130
+ Prompt example:
10131
+ double exposure of a woman and a forest, black background
10132
+ You can also experiment with different types of motion applied to either the subject or the background context:
10133
+ Example:
10134
+ double exposure of a turning woman and a panning over a forest, black background
10135
+ 🧠
10136
+ How to Use
10137
+ (t2v)
10138
+ • Works best with either black or white backgrounds
10139
+ • Combine with camera movement (better controlled) motion
10140
+ ⚙️
10141
+ Inference Settings
10142
+
10143
+ Mode:
10144
+ text-to-video
10145
+ (t2v)
10146
+
10147
+ Model:
10148
+ Wan 2.2 14B
10149
+
10150
+ Resolution:
10151
+ 480–1024px (approx. 720p)
10152
+
10153
+ FPS:
10154
+ 16-24
10155
+
10156
+ Steps:
10157
+ 20 (10 steps each low and high noise)
10158
+
10159
+ CFG:
10160
+ 3.5
10161
+
10162
+ Clip length:
10163
+ 3–5 seconds
10164
+ (73–121 frames)
10165
+ Thanks to
10166
+ @masslevel
10167
+ for contributing videos!
10168
+ https://tensor.art/u/635897593804625782
10169
+ ## Civitai Links
10170
+ * **[🔗 View This Version on Civitai →](https://civitai.com/models/2032129?modelVersionId=2299874)**
10171
+ * [View Full Model Page →](https://civitai.com/models/2032129)
10172
+ * [View Creator Profile →](https://civitai.com/user/joachim_s)
10173
+ ---
10174
+ ## File Information
10175
+
10176
+ * **Primary Filename (Civitai)**: `Aether_Exposure_low_noise_LoRA_wan22_14b_v1.safetensors`
10177
+ * **Size**: 292.59 MB
10178
+ * **Hash (AutoV2)**: `B01F8C8751`
10179
+ * **Hash (SHA256)**: `B01F8C8751479FA79583DAD56FB5634A35286CC2C471013D2886EF4C910EA7AC`
10180
+ ---
10181
+
10182
+ ---
10183
+ # Claudette (Version: v1.0)
10184
+ **Creator**: [Alvareez](https://civitai.com/user/Alvareez)
10185
+ **Type**: LORA
10186
+ **Base Model**: Wan Video 2.2 T2V-A14B
10187
+ **Version Uploaded**: 2025-10-10
10188
+ **Trigger Words**: `N/A`
10189
+ **Civitai Model ID**: 2032279
10190
+ **Civitai Version ID**: 2300046
10191
+ **Stats (at time of fetch for this version)**:
10192
+ * Downloads: 29
10193
+ * Rating: 0.0 (0 ratings)
10194
+ * Favorites: N/A
10195
+ ---
10196
+ ## 📄 Description (Parent Model)
10197
+ Meet Claudette_001, my firstborn: an auburn-haired, slim, playful, elvish female.
10198
+ Your comments will be appreciated.
10199
+ ## Civitai Links
10200
+ * **[🔗 View This Version on Civitai →](https://civitai.com/models/2032279?modelVersionId=2300046)**
10201
+ * [View Full Model Page →](https://civitai.com/models/2032279)
10202
+ * [View Creator Profile →](https://civitai.com/user/Alvareez)
10203
+ ---
10204
+ ## File Information
10205
+
10206
+ * **Primary Filename (Civitai)**: `Claudette_001.safetensors`
10207
+ * **Size**: 292.60 MB
10208
+ * **Hash (AutoV2)**: `BD389FD698`
10209
+ * **Hash (SHA256)**: `BD389FD698CE20E97BF17D27C1E9A4B8CC2F9550FC14CBDDD8467CB193DFA2BE`
10210
+ ---
10211
+
10212
+ ---
10213
+ # WAN2.2. T2I (HIGH/LOW Noise) -– Polyhedron_all: Perfect skin. Perfect hands. Perfect eyes. (m/f) (Version: HIGH NOISE)
10214
+ **Creator**: [Polyhedron_AI](https://civitai.com/user/Polyhedron_AI)
10215
+ **Type**: LORA
10216
+ **Base Model**: Wan Video 2.2 T2V-A14B
10217
+ **Version Uploaded**: 2025-10-10
10218
+ **Trigger Words**: `perfect eyes`, `perfect hands`, `perfect skin`, `skin blemish`, `detailed skin`, `skin imperfections`
10219
+ **Civitai Model ID**: 1947995
10220
+ **Civitai Version ID**: 2300498
10221
+ **Stats (at time of fetch for this version)**:
10222
+ * Downloads: 113
10223
+ * Rating: 0.0 (0 ratings)
10224
+ * Favorites: N/A
10225
+ ---
10226
+ ## 📄 Description (Parent Model)
10227
+ EDIT! (25.10.10):
10228
+ Okay, okay — I’ve added the
10229
+ HIGH NOISE
10230
+ model! :) Took me a small fortune to train it in proper high quality. For the workflow and more training steps, please check out my Patreon — link below. <3
10231
+ https://www.patreon.com/polyhedron_ai
10232
+ So, folks. My first LoRA for the WAN2.2 model (T2I, Low Noise) – mainly meant for single images(!), not short videos. The training set was originally built to reduce that smooth, unnatural (plastic) skin look – first for SD1.5, then SDXL, then FLUX, and now finally for WAN.
10233
+ A High Noise model might come later; right now, training these LoRAs at all is pretty expensive … But anyway: here it is! <3 I’m sharing the “finished” version after 3,000 training steps, which is the one I personally use. If you feel it’s already a bit overtrained, you can grab earlier training steps on my Patreon, along with the comfyui workflow and a detailed guide on how to get it all running on a smaller setup. (I’m using a 3060 with 12GB VRAM.)
10234
+ Long story short: give it a try. It makes things a bit nicer, though it’s not a total game-changer anymore for getting rid of the plastic-skin look; WAN2.2 is already super solid and refined … but it does sometimes have that “Asian-style” vibe, if you know what I mean, and this LoRA helps dial that back. Have fun!
10235
+ Cheers from Germany, Frank
10236
+ If you need more flexibility, please join my PATREON page, where you get more training steps and the final LoRAs and how to use it.
10237
+ ## Civitai Links
10238
+ * **[🔗 View This Version on Civitai →](https://civitai.com/models/1947995?modelVersionId=2300498)**
10239
+ * [View Full Model Page →](https://civitai.com/models/1947995)
10240
+ * [View Creator Profile →](https://civitai.com/user/Polyhedron_AI)
10241
+ ---
10242
+ ## File Information
10243
+
10244
+ * **Primary Filename (Civitai)**: `wan2.2_polyhedron_all_high_noise_FULL.safetensors`
10245
+ * **Size**: 585.10 MB
10246
+ * **Hash (AutoV2)**: `A88E8BA650`
10247
+ * **Hash (SHA256)**: `A88E8BA6506FCEA1FC3D73392B4F3A7FEA0B2BFFADFEB7B164FEC682568472F8`
10248
+ ---
10249
+
10250
+ ---
10251
+ # WAN2.2. T2I (HIGH/LOW Noise) -– Polyhedron_all: Perfect skin. Perfect hands. Perfect eyes. (m/f) (Version: LOW NOISE)
10252
+ **Creator**: [Polyhedron_AI](https://civitai.com/user/Polyhedron_AI)
10253
+ **Type**: LORA
10254
+ **Base Model**: Wan Video 2.2 T2V-A14B
10255
+ **Version Uploaded**: 2025-09-11
10256
+ **Trigger Words**: `perfect eyes`, `perfect hands`, `perfect skin`, `skin blemish`, `detailed skin`, `skin imperfections`
10257
+ **Civitai Model ID**: 1947995
10258
+ **Civitai Version ID**: 2204732
10259
+ **Stats (at time of fetch for this version)**:
10260
+ * Downloads: 1259
10261
+ * Rating: 0.0 (0 ratings)
10262
+ * Favorites: N/A
10263
+ ---
10264
+ ## 📄 Description (Parent Model)
10265
+ EDIT! (25.10.10):
10266
+ Okay, okay — I’ve added the
10267
+ HIGH NOISE
10268
+ model! :) Took me a small fortune to train it in proper high quality. For the workflow and more training steps, please check out my Patreon — link below. <3
10269
+ https://www.patreon.com/polyhedron_ai
10270
+ So, folks. My first LoRA for the WAN2.2 model (T2I, Low Noise) – mainly meant for single images(!), not short videos. The training set was originally built to reduce that smooth, unnatural (plastic) skin look – first for SD1.5, then SDXL, then FLUX, and now finally for WAN.
10271
+ A High Noise model might come later; right now, training these LoRAs at all is pretty expensive … But anyway: here it is! <3 I’m sharing the “finished” version after 3,000 training steps, which is the one I personally use. If you feel it’s already a bit overtrained, you can grab earlier training steps on my Patreon, along with the comfyui workflow and a detailed guide on how to get it all running on a smaller setup. (I’m using a 3060 with 12GB VRAM.)
10272
+ Long story short: give it a try. It makes things a bit nicer, though it’s not a total game-changer anymore for getting rid of the plastic-skin look; WAN2.2 is already super solid and refined … but it does sometimes have that “Asian-style” vibe, if you know what I mean, and this LoRA helps dial that back. Have fun!
10273
+ Cheers from Germany, Frank
10274
+ If you need more flexibility, please join my PATREON page, where you get more training steps and the final LoRAs and how to use it.
10275
+ ## Civitai Links
10276
+ * **[🔗 View This Version on Civitai →](https://civitai.com/models/1947995?modelVersionId=2204732)**
10277
+ * [View Full Model Page →](https://civitai.com/models/1947995)
10278
+ * [View Creator Profile →](https://civitai.com/user/Polyhedron_AI)
10279
+ ---
10280
+ ## File Information
10281
+
10282
+ * **Primary Filename (Civitai)**: `wan2.2_polyhedron_all_low_noise_low_noise.safetensors`
10283
+ * **Size**: 585.10 MB
10284
+ * **Hash (AutoV2)**: `2A1580EACC`
10285
+ * **Hash (SHA256)**: `2A1580EACCF64FBD8B5130F309009B26FDC3336E84D68850EB74234F22A07F50`
10286
  ---
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