gen guide

Author: stevhliu

docs/source/en/api/pipelines/ltx_video.md

@@ -138,20 +138,20 @@ export_to_video(video, "output.mp4", fps=24)
   pipeline.set_adapters("cakeify")
 
   # use "CAKEIFY" to trigger the LoRA
-  prompt = "CAKEIFY a person using a knife to cut a cake shaped like a cereal box"
-  image = load_image("https://i5.walmartimages.com/asr/c0463def-4995-47a7-9486-294fff8cf9fc.f9779f3fc4c621cf1fe86465af1d2ecd.jpeg")
+  prompt = "CAKEIFY a person using a knife to cut a cake shaped like a Pikachu plushie"
+  image = load_image("https://huggingface.co/Lightricks/LTX-Video-Cakeify-LoRA/resolve/main/assets/images/pikachu.png")
 
   video = pipeline(
       prompt=prompt,
       image=image,
-      width=768,
-      height=512,
+      width=576,
+      height=576,
       num_frames=161,
       decode_timestep=0.03,
       decode_noise_scale=0.025,
       num_inference_steps=50,
   ).frames[0]
-  export_to_video(video, "output.mp4", fps=24)
+  export_to_video(video, "output.mp4", fps=26)
   ```
 
 - LTX-Video supports loading from single files, such as [GGUF checkpoints](../../quantization/gguf), with [`loaders.FromOriginalModelMixin.from_single_file`] or [`loaders.FromSingleFileMixin.from_single_file`].

docs/source/en/api/pipelines/wan.md

@@ -169,19 +169,19 @@ export_to_video(output, "output.mp4", fps=16)
   from diffusers.utils import export_to_video
 
   vae = AutoencoderKLWan.from_pretrained(
-    "Wan-AI/Wan2.1-T2V-14B-Diffusers", subfolder="vae", torch_dtype=torch.float32
+    "Wan-AI/Wan2.1-T2V-1.3B-Diffusers", subfolder="vae", torch_dtype=torch.float32
   )
   pipeline = WanPipeline.from_pretrained(
-    "Wan-AI/Wan2.1-T2V-14B-Diffusers", vae=vae, torch_dtype=torch.bfloat16
+    "Wan-AI/Wan2.1-T2V-1.3B-Diffusers", vae=vae, torch_dtype=torch.bfloat16
   )
   pipeline.scheduler = UniPCMultistepScheduler.from_config(
     pipeline.scheduler.config, flow_shift=5.0
   )
   pipeline.to("cuda")
 
-  pipeline.load_lora_weights("benjamin-paine/steamboat-willie-14b", adapter_name="steamboat-willie")
+  pipeline.load_lora_weights("benjamin-paine/steamboat-willie-1.3b", adapter_name="steamboat-willie")
   pipeline.set_adapters("steamboat-willie")
-  
+
   pipeline.enable_model_cpu_offload()
 
   # use "steamboat willie style" to trigger the LoRA
@@ -201,7 +201,7 @@ export_to_video(output, "output.mp4", fps=16)
   export_to_video(output, "output.mp4", fps=16)
   ```
 
-- [`WanTransformer3DModel`] and [`AutoencoderKLWan`] supports loading from single files with [`!loaders.FromSingleFileMixin.from_single_file`].
+- [`WanTransformer3DModel`] and [`AutoencoderKLWan`] supports loading from single files with [`~loaders.FromSingleFileMixin.from_single_file`].
 
   ```py
   # pip install ftfy