Add Anima-3.8B-v1.1 architecture model.

core/pipelines/workflow_recipes/_partials/conditioning/anima-3.8b-v1.1.yaml

@@ -0,0 +1,81 @@
+nodes:
+  unet_loader:
+    class_type: Anima38BV2Loader
+    title: "anima.3-8B-v2"
+  clip_loader:
+    class_type: CLIPLoader
+    title: "Load CLIP"
+    params:
+      type: "stable_diffusion"
+      device: "default"
+  qwen35_loader:
+    class_type: AnimaQwen35Loader
+    title: "Load Qwen3.5 4B (Anima)"
+  pos_prompt:
+    class_type: Anima38BV2Prompt
+    title: "anima.3-8B-v2 Prompt (Positive)"
+  neg_prompt:
+    class_type: Anima38BV2Prompt
+    title: "anima.3-8B-v2 Prompt (Negative)"
+  vae_loader:
+    class_type: VAELoader
+    title: "Load VAE"
+
+connections:
+  - from: "unet_loader:0"
+    to: "ksampler:model"
+  - from: "unet_loader:0"
+    to: "pos_prompt:model"
+  - from: "unet_loader:0"
+    to: "neg_prompt:model"
+  - from: "clip_loader:0"
+    to: "pos_prompt:native_clip"
+  - from: "clip_loader:0"
+    to: "neg_prompt:native_clip"
+  - from: "qwen35_loader:0"
+    to: "pos_prompt:qwen35_clip"
+  - from: "qwen35_loader:0"
+    to: "neg_prompt:qwen35_clip"
+  - from: "pos_prompt:0"
+    to: "ksampler:positive"
+  - from: "neg_prompt:0"
+    to: "ksampler:negative"
+  - from: "vae_loader:0"
+    to: "vae_decode:vae"
+  - from: "vae_loader:0"
+    to: "vae_encode:vae"
+
+dynamic_lora_chains:
+  lora_chain:
+    template: "LoraLoader"
+    output_map:
+      "unet_loader:0": "model"
+      "clip_loader:0": "clip"
+    input_map:
+      "model": "model"
+      "clip": "clip"
+    end_input_map:
+      "model": ["ksampler:model", "pos_prompt:model", "neg_prompt:model"]
+      "clip": ["pos_prompt:native_clip", "neg_prompt:native_clip"]
+
+dynamic_anima_controlnet_lllite_chains:
+  anima_controlnet_lllite_chain:
+    ksampler_node: "ksampler"
+
+dynamic_conditioning_chains:
+  conditioning_chain:
+    ksampler_node: "ksampler"
+    clip_source: "clip_loader:0"
+
+dynamic_pid_chains:
+  pid_chain:
+    ksampler_node: "ksampler"
+
+ui_map:
+  positive_prompt: "pos_prompt:prompt"
+  negative_prompt: "neg_prompt:prompt"
+  model_name: "unet_loader:model_name"
+  unet_name: "unet_loader:model_name"
+  clip_name: "clip_loader:clip_name"
+  qwen35_model: "qwen35_loader:qwen35_model"
+  vae_name: "vae_loader:vae_name"

yaml/constants.yaml

@@ -127,6 +127,14 @@ RESOLUTION_MAP:
     "3:4 (Classic Portrait)": [896, 1152]
     "3:2 (Photography)": [1216, 832]
     "2:3 (Photography Portrait)": [832, 1216]
+  anima-3.8b-v1.1:
+    "1:1 (Square)": [1024, 1024]
+    "16:9 (Landscape)": [1344, 768]
+    "9:16 (Portrait)": [768, 1344]
+    "4:3 (Classic)": [1152, 896]
+    "3:4 (Classic Portrait)": [896, 1152]
+    "3:2 (Photography)": [1216, 832]
+    "2:3 (Photography Portrait)": [832, 1216]
   anima-3.8b:
     "1:1 (Square)": [1024, 1024]
     "16:9 (Landscape)": [1344, 768]
@@ -280,6 +288,7 @@ MULTIPLIERS_MAP:
   qwen-image: 1
   longcat-image: 1
   cosmos-predict2: 1
+  anima-3.8b-v1.1: 1
   anima-3.8b: 1
   anima: 1
   newbie-image: 1

yaml/file_list.yaml

@@ -518,6 +518,11 @@ file:
       source: "hf"
       repo_id: "nvidia/Cosmos-Predict2-14B-Text2Image"
       repository_file_path: "model.pt"
+    # Anima-3.8B-v1.1
+    - filename: "Anima-3.8B-v1.1.safetensors"
+      source: "hf"
+      repo_id: "lylogummy/Anima-3.8B"
+      repository_file_path: "difussion_models/Anima-3.8B-v1.1.safetensors"
     # Anima-3.8B
     - filename: "Anima-3.8B.safetensors"
       source: "hf"

yaml/model_architecture_features.yaml

@@ -90,6 +90,15 @@ cosmos-predict2:
   - conditioning
   - vae
 
+anima-3.8b-v1.1:
+  enabled_chains:
+  - lora
+  - conditioning
+  - anima_controlnet_lllite
+  - vae
+  - pid
+
+
 anima-3.8b:
   enabled_chains:
   - lora

yaml/model_architectures.yaml

@@ -14,6 +14,7 @@ architecture_order:
   - "Qwen-Image"
   - "LongCat-Image"
   - "Cosmos-Predict2"
+  - "Anima-3.8B-v1.1"
   - "Anima-3.8B"
   - "Anima"
   - "NewBie-Image"
@@ -69,6 +70,9 @@ architectures:
   "Cosmos-Predict2":
     model_type: "cosmos-predict2"
     controlnet_key: "Cosmos-Predict2"
+  "Anima-3.8B-v1.1":
+    model_type: "anima-3.8b-v1.1"
+    controlnet_key: "Anima"
   "Anima-3.8B":
     model_type: "anima-3.8b"
     controlnet_key: "Anima"

yaml/model_defaults.yaml

@@ -159,6 +159,15 @@ Cosmos-Predict2:
     sampler_name: "euler"
     scheduler: "karras"
 
+Anima-3.8B-v1.1:
+  _defaults:
+    steps: 40
+    cfg: 6.0
+    sampler_name: "res_multistep"
+    scheduler: "beta"
+    positive_prompt: "masterpiece, best quality, high quality, newest, year 2025, year 2024, \nDescription:\n"
+    negative_prompt: "worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts, sepia"
+
 Anima-3.8B:
   _defaults:
     steps: 32
@@ -167,7 +176,6 @@ Anima-3.8B:
     scheduler: "beta"
     positive_prompt: "masterpiece, best quality, high quality, newest, year 2025, year 2024, \nDescription:\n"
     negative_prompt: "worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts, sepia"
-    filename_prefix: "anima_3_8b"
 
 Anima:
   _defaults:

yaml/model_list.yaml

@@ -239,6 +239,15 @@ Checkpoint:
           unet: "cosmos_predict2_14B_t2i.pt"
           clip: "oldt5_xxl_fp8_e4m3fn_scaled.safetensors"
           vae: "wan_2.1_vae.safetensors"
+  Anima-3.8B-v1.1:
+    latent_type: sd3_latent
+    models:
+      - display_name: "lylogummy/Anima-3.8B-v1.1"
+        components:
+          unet: "Anima-3.8B-v1.1.safetensors"
+          clip: "qwen_3_06b_base.safetensors"
+          qwen35_model: "qwen35_4b.safetensors"
+          vae: "qwen_image_vae.safetensors"
   Anima-3.8B:
     latent_type: sd3_latent
     models:

yaml/pid.yaml

@@ -4,7 +4,7 @@ PiD:
     architectures: ["flux2", "flux2-kv", "ideogram-4", "lens", "ernie-image"]
   - filepath: "pid_1.5_qwenimage_1024_to_4096_4step_int8_convrot.safetensors"
     latent_format: "qwenimage"
-    architectures: ["anima", "anima-3.8b", "qwen-image", "krea-2"]
+    architectures: ["anima-3.8b-v1.1", "anima-3.8b", "anima", "qwen-image", "krea-2"]
   - filepath: "pid_1.5_flux1_1024_to_4096_4step_int8_convrot.safetensors"
     latent_format: "flux"
     architectures: ["longcat-image", "newbie-image", "z-image", "kandinsky-5", "ovis-image", "omnigen2", "chroma1", "hidream-i1", "flux1", "boogu-image"]