[Docs] Update README and pipeline_anytext.py to use AnyTextControlNetModel

Author: tolgacangoz

examples/research_projects/anytext/README.md

@@ -20,12 +20,12 @@ To learn about how to convert the fine-tuned stable diffusion model, see the [Lo
 ```py
 import torch
 from pipeline_anytext import AnyTextPipeline
-from text_controlnet import TextControlNetModel
+from text_controlnet import AnyTextControlNetModel
 from diffusers import DDIMScheduler
 from diffusers.utils import load_image
 
 
-controlnet = TextControlNetModel.from_pretrained("tolgacangoz/anytext-controlnet", torch_dtype=torch.float16,
+controlnet = AnyTextControlNetModel.from_pretrained("tolgacangoz/anytext-controlnet", torch_dtype=torch.float16,
                                                   variant="fp16")
 pipe = AnyTextPipeline.from_pretrained("tolgacangoz/anytext", controlnet=controlnet,
                                         torch_dtype=torch.float16, variant="fp16")

…arch_projects/anytext/text_controlnet.py …h_projects/anytext/anytext_controlnet.pyexamples/research_projects/anytext/text_controlnet.py renamed to examples/research_projects/anytext/anytext_controlnet.py examples/research_projects/anytext/text_controlnet.py renamed to examples/research_projects/anytext/anytext_controlnet.py

@@ -80,13 +80,13 @@
     Examples:
         ```py
         >>> from pipeline_anytext import AnyTextPipeline
-        >>> from text_controlnet import TextControlNetModel
+        >>> from text_controlnet import AnyTextControlNetModel
         >>> from diffusers import DDIMScheduler
         >>> from diffusers.utils import load_image
         >>> import torch
 
         >>> # load control net and stable diffusion v1-5
-        >>> text_controlnet = TextControlNetModel.from_pretrained("tolgacangoz/anytext-controlnet", torch_dtype=torch.float16,
+        >>> text_controlnet = AnyTextControlNetModel.from_pretrained("tolgacangoz/anytext-controlnet", torch_dtype=torch.float16,
         ...                                                        variant="fp16",)
         >>> pipe = DiffusionPipeline.from_pretrained("tolgacangoz/anytext", controlnet=text_controlnet,
         ...                                          torch_dtype=torch.float16, variant="fp16",