fix link

Author: SHYuanBest

docs/source/en/using-diffusers/consisid.md

@@ -48,7 +48,7 @@ For identity-preserving text-to-video, pass a text prompt and an image contain c
 from diffusers.utils import export_to_video
 
 prompt = "The video captures a boy walking along a city street, filmed in black and white on a classic 35mm camera. His expression is thoughtful, his brow slightly furrowed as if he's lost in contemplation. The film grain adds a textured, timeless quality to the image, evoking a sense of nostalgia. Around him, the cityscape is filled with vintage buildings, cobblestone sidewalks, and softly blurred figures passing by, their outlines faint and indistinct. Streetlights cast a gentle glow, while shadows play across the boy's path, adding depth to the scene. The lighting highlights the boy's subtle smile, hinting at a fleeting moment of curiosity. The overall cinematic atmosphere, complete with classic film still aesthetics and dramatic contrasts, gives the scene an evocative and introspective feel."
-image = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/refs%2Fpr%2F406/diffusers/consisid/consisid_image_3.png?download=true"
+image = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/refs%2Fpr%2F406/diffusers/consisid/consisid_input.png?download=true"
 
 id_cond, id_vit_hidden, image, face_kps = process_face_embeddings_infer(face_helper_1, face_clip_model, face_helper_2, eva_transform_mean, eva_transform_std, face_main_model, "cuda", torch.bfloat16, image, is_align_face=True)
 

docs/source/zh/consisid.md

@@ -52,7 +52,7 @@ pipe.to("cuda")
 from diffusers.utils import export_to_video
 
 prompt = "The video captures a boy walking along a city street, filmed in black and white on a classic 35mm camera. His expression is thoughtful, his brow slightly furrowed as if he's lost in contemplation. The film grain adds a textured, timeless quality to the image, evoking a sense of nostalgia. Around him, the cityscape is filled with vintage buildings, cobblestone sidewalks, and softly blurred figures passing by, their outlines faint and indistinct. Streetlights cast a gentle glow, while shadows play across the boy's path, adding depth to the scene. The lighting highlights the boy's subtle smile, hinting at a fleeting moment of curiosity. The overall cinematic atmosphere, complete with classic film still aesthetics and dramatic contrasts, gives the scene an evocative and introspective feel."
-image = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/refs%2Fpr%2F406/diffusers/consisid/consisid_image_3.png?download=true"
+image = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/refs%2Fpr%2F406/diffusers/consisid/consisid_input.png?download=true"
 
 id_cond, id_vit_hidden, image, face_kps = process_face_embeddings_infer(face_helper_1, face_clip_model, face_helper_2, eva_transform_mean, eva_transform_std, face_main_model, "cuda", torch.bfloat16, image, is_align_face=True)
 

src/diffusers/pipelines/consisid/pipeline_consisid.py

@@ -59,7 +59,7 @@
 
         >>> # ConsisID works well with long and well-described prompts. Make sure the face in the image is clearly visible (e.g., preferably half-body or full-body).
         >>> prompt = "The video captures a boy walking along a city street, filmed in black and white on a classic 35mm camera. His expression is thoughtful, his brow slightly furrowed as if he's lost in contemplation. The film grain adds a textured, timeless quality to the image, evoking a sense of nostalgia. Around him, the cityscape is filled with vintage buildings, cobblestone sidewalks, and softly blurred figures passing by, their outlines faint and indistinct. Streetlights cast a gentle glow, while shadows play across the boy's path, adding depth to the scene. The lighting highlights the boy's subtle smile, hinting at a fleeting moment of curiosity. The overall cinematic atmosphere, complete with classic film still aesthetics and dramatic contrasts, gives the scene an evocative and introspective feel."
-        >>> image = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/refs%2Fpr%2F406/diffusers/consisid/consisid_image_3.png?download=true"
+        >>> image = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/refs%2Fpr%2F406/diffusers/consisid/consisid_input.png?download=true"
 
         >>> id_cond, id_vit_hidden, image, face_kps = process_face_embeddings_infer(
         ...     face_helper_1,