make step_callback work again in generate() call

This PR fixes #2951 and restores the step_callback argument in the
refactored generate() method. Note that this issue states that
"something is still wrong because steps and step are zero." However,
I think this is confusion over the call signature of the callback, which
since the diffusers merge has been `callback(state:PipelineIntermediateState)`

This is the test script that I used to determine that `step` is being passed
correctly:

```

from pathlib import Path
from invokeai.backend import ModelManager, PipelineIntermediateState
from invokeai.backend.globals import global_config_dir
from invokeai.backend.generator import Txt2Img

def my_callback(state:PipelineIntermediateState, total_steps:int):
    print(f'callback(step={state.step}/{total_steps})')

def main():
    manager = ModelManager(Path(global_config_dir()) / "models.yaml")
    model = manager.get_model('stable-diffusion-1.5')
    print ('=== TXT2IMG TEST ===')
    steps=30
    output = next(Txt2Img(model).generate(prompt='banana sushi',
                                          iterations=None,
                                          steps=steps,
                                          step_callback=lambda x: my_callback(x,steps)
                                          )
                  )
    print(f'image={output.image}, seed={output.seed}, steps={output.params.steps}')

if __name__=='__main__':
    main()
```

invokeai/backend/__init__.py

@@ -10,6 +10,7 @@ from .generator import (
     Img2Img,
     Inpaint
 )
+from .stable_diffusion.diffusers_pipeline import PipelineIntermediateState
 from .model_management import ModelManager
 from .safety_checker import SafetyChecker
 from .args import Args

invokeai/backend/generator/base.py

@@ -154,6 +154,7 @@ class InvokeAIGenerator(metaclass=ABCMeta):
         for i in iteration_count:
             results = generator.generate(prompt,
                                          conditioning=(uc, c, extra_conditioning_info),
+                                         step_callback=step_callback,
                                          sampler=scheduler,
                                          **generator_args,
                                          )