TypeError: StableDiffusionPipeline.__call__() got multiple values for argument 'height'

🧨 Diffusers
1

my code is

!pip install -q --upgrade huggingface_hub
!pip install -q diffusers==0.25.0 accelerate omegaconf xformers transformers gradio==3.48.0 mediapy scipy fastapi==0.103.2
import mediapy as media
import random
import sys
import torch
import os
from diffusers import DiffusionPipeline
import gradio as gr

model = "digiplay/RealEpicMajicRevolution_v1"
pipe = DiffusionPipeline.from_pretrained(
    model,
    torch_dtype=torch.float16,
    requires_safety_checker=None,
)
pipe = pipe.to('cuda')

def txt2img(prompt, negative_prompt, guidance_scale, num_inference_steps, height, width):
    image = pipe(prompt, negative_prompt, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps, height=height, width=width).images[0]
    image.save("sd_image.png")
    return image

with gr.Blocks() as demo:
  gr.Markdown("Stable Diffusion")
  with gr.Tab("Txt2Img"):
      with gr.Row():
          with gr.Column(scale=1):
              prompt = gr.Textbox(label="Prompt")
              negative_prompt = gr.Textbox(label="Negative Prompt")
              guidance_scale = gr.Slider(1, 10, value=5, step=0.1, label="Guidance Scale")
              num_inference_steps = gr.Slider(1, 100, value=10, step=1, label="Steps")
              height = gr.Number(label="Height")
              width = gr.Number(label="Width")
          with gr.Column(scale=2):
              image_output = gr.Image()
              generate = gr.Button("Generate")
              generate.click(fn=txt2img, inputs=[prompt, negative_prompt, guidance_scale, num_inference_steps, height, width], outputs=image_output)

demo.launch(share=True, debug=True)```

and the error i keep getting is



``` Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/gradio/routes.py", line 534, in predict
    output = await route_utils.call_process_api(
  File "/usr/local/lib/python3.10/dist-packages/gradio/route_utils.py", line 226, in call_process_api
    output = await app.get_blocks().process_api(
  File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1550, in process_api
    result = await self.call_function(
  File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1185, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "/usr/local/lib/python3.10/dist-packages/gradio/utils.py", line 661, in wrapper
    response = f(*args, **kwargs)
  File "<ipython-input-57-a04c60335fb8>", line 20, in txt2img
    image = pipe(prompt, negative_prompt, guidance_scale=guidance_scale, num_inference_steps=num_inference_steps, height=height, width=width).images[0]
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
TypeError: StableDiffusionPipeline.__call__() got multiple values for argument 'height' ```