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README.md

@@ -10,8 +10,8 @@ tags:
 - text-to-video
 - video
 - video-generation
-base_model: "Wan-AI/Wan2.1-I2V-14B-Diffusers"
-pipeline_tag: image-to-video
+base_model: "Wan-AI/Wan2.1-T2V-14B-Diffusers"
+pipeline_tag: text-to-video
 # widget:
 #   - text: >-
 #       prompt
@@ -26,7 +26,7 @@ instance_prompt: SQUISH-IT
 
 ## About this LoRA
 
-This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the Wan 14B Image-to-Video model.
+This is a [LoRA](https://replicate.com/docs/guides/working-with-loras) for the Wan 14B Text-to-Video model.
 
 It can be used with diffusers or ComfyUI, and can be loaded against the Wan 14B models.
 
@@ -52,7 +52,7 @@ import replicate
 
 input = {
     "prompt": "SQUISH-IT",
-    "lora_url": "https://huggingface.co/zsxkib/squish-pika-lora/resolve/main/wan-14b-i2v-squish-it-lora.safetensors"
+    "lora_url": "https://huggingface.co/zsxkib/squish-pika-lora/resolve/main/wan-14b-t2v-squish-it-lora.safetensors"
 }
 
 output = replicate.run(
@@ -73,7 +73,7 @@ from diffusers.utils import export_to_video
 from diffusers import WanVidAdapter, WanVid
 
 # Load base model
-base_model = WanVid.from_pretrained("Wan-AI/Wan2.1-I2V-14B-Diffusers", torch_dtype=torch.float16)
+base_model = WanVid.from_pretrained("Wan-AI/Wan2.1-T2V-14B-Diffusers", torch_dtype=torch.float16)
 
 # Load and apply LoRA adapter
 adapter = WanVidAdapter.from_pretrained("zsxkib/squish-pika-lora")
@@ -84,18 +84,13 @@ prompt = "SQUISH-IT"
 negative_prompt = "blurry, low quality, low resolution"
 
 # Generate video frames
-from PIL import Image
-
-# Load input image
-image = Image.open("path/to/your/image.jpg").convert("RGB")
-
-# Generate video from image
-frames = base_model.image_to_video(
-    image=image,
+frames = base_model(
     prompt=prompt,
     negative_prompt=negative_prompt,
     num_inference_steps=30,
     guidance_scale=5.0,
+    width=832,
+    height=480,
     fps=16,
     num_frames=32,
 ).frames[0]

wan-14b-t2v-squish-it-lora.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:261ae811211fb5bc2ff86c6f97412aa08b7b10e1ae23dad61637e597e888c114
+size 359257680