feat(gallery): add Wan 2.1 FLF2V 14B 720P

gallery/index.yaml

@@ -1132,7 +1132,7 @@
       - "offload_to_cpu:false"
       - "offload_dit_to_cpu:false"
       - "init_lm:true"
       - "lm_model_path:acestep-5Hz-lm-0.6B" # or acestep-5Hz-lm-4B
       - "lm_backend:pt"
       - "temperature:0.85"
       - "top_p:0.9"
@@ -1511,7 +1511,7 @@
     known_usecases:
       - tts
     tts:
       voice: Aiden # Available speakers: Vivian, Serena, Uncle_Fu, Dylan, Eric, Ryan, Aiden, Ono_Anna, Sohee
     parameters:
       model: Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
 - !!merge <<: *qwen-tts
@@ -1523,7 +1523,7 @@
     known_usecases:
       - tts
     tts:
       voice: Aiden # Available speakers: Vivian, Serena, Uncle_Fu, Dylan, Eric, Ryan, Aiden, Ono_Anna, Sohee
     parameters:
       model: Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice
 - &fish-speech
@@ -6031,7 +6031,7 @@
     - gemma3
     - gemma-3
   overrides:
     #mmproj: gemma-3-27b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-27b-it-Q4_K_M.gguf
   files:
@@ -6049,7 +6049,7 @@
   description: |
     google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
   overrides:
     #mmproj: gemma-3-12b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-12b-it-Q4_K_M.gguf
   files:
@@ -6067,7 +6067,7 @@
   description: |
     Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
   overrides:
     #mmproj: gemma-3-4b-it-mmproj-f16.gguf
     parameters:
       model: gemma-3-4b-it-Q4_K_M.gguf
   files:
@@ -15335,6 +15335,47 @@
       uri: "huggingface://city96/umt5-xxl-encoder-gguf/umt5-xxl-encoder-Q8_0.gguf"
     - filename: "clip_vision_h.safetensors"
       uri: "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors"
+- name: wan-2.1-flf2v-14b-720p-ggml
+  license: apache-2.0
+  url: "github:mudler/LocalAI/gallery/wan-ggml.yaml@master"
+  description: |
+    Wan 2.1 FLF2V 14B 720P — first-last-frame-to-video diffusion, GGUF Q4_K_M.
+    Takes a start and end reference image and interpolates a 33-frame clip
+    between them. Unlike the plain I2V variant this model feeds the end
+    frame through clip_vision as well, so it conditions semantically (not
+    just in pixel-space) on both endpoints. That makes it the right choice
+    for seamless loops (start_image == end_image) and clean narrative cuts.
+    Native 720p but accepts 480p resolutions; shares the same VAE, t5xxl
+    text encoder, and clip_vision_h as I2V 14B.
+  urls:
+    - https://huggingface.co/city96/Wan2.1-FLF2V-14B-720P-gguf
+  tags:
+    - image-to-video
+    - first-last-frame-to-video
+    - wan
+    - video-generation
+    - cpu
+    - gpu
+  overrides:
+    parameters:
+      model: wan2.1-flf2v-14b-720p-Q4_K_M.gguf
+    options:
+      - "clip_vision_path:clip_vision_h.safetensors"
+      - "diffusion_model"
+      - "vae_decode_only:false"
+      - "sampler:euler"
+      - "flow_shift:3.0"
+      - "t5xxl_path:umt5-xxl-encoder-Q8_0.gguf"
+      - "vae_path:wan_2.1_vae.safetensors"
+  files:
+    - filename: "wan2.1-flf2v-14b-720p-Q4_K_M.gguf"
+      uri: "huggingface://city96/Wan2.1-FLF2V-14B-720P-gguf/wan2.1-flf2v-14b-720p-Q4_K_M.gguf"
+    - filename: "wan_2.1_vae.safetensors"
+      uri: "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors"
+    - filename: "umt5-xxl-encoder-Q8_0.gguf"
+      uri: "huggingface://city96/umt5-xxl-encoder-gguf/umt5-xxl-encoder-Q8_0.gguf"
+    - filename: "clip_vision_h.safetensors"
+      uri: "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors"
 - name: sd-1.5-ggml
   icon: https://avatars.githubusercontent.com/u/37351293
   license: creativeml-openrail-m