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import fal
class FalModel():
def __init__(self, model_name, model_type):
self.model_name = model_name
self.modle_type = model_type
def __call__(self, *args, **kwargs):
if self.model_type == "text2image":
assert "prompt" in kwargs, "prompt is required for text2image model"
handler = fal.apps.submit(
f"fal-ai/{self.model_name}",
arguments={
"prompt": kwargs["prompt"]
},
)
for event in handler.iter_events():
if isinstance(event, fal.apps.InProgress):
print('Request in progress')
print(event.logs)
result = handler.get()
return result
elif self.model_type == "image2image":
assert "image" in kwargs or "image_url" in kwargs, "image or image_url is required for image2image model"
if "image" in kwargs:
image_url = None
pass
handler = fal.apps.submit(
f"fal-ai/{self.model_name}",
arguments={
"image_url": image_url
},
)
for event in handler.iter_events():
if isinstance(event, fal.apps.InProgress):
print('Request in progress')
print(event.logs)
result = handler.get()
return result
else:
raise ValueError("model_type must be text2image or image2image")
def load_fal_model(model_name, model_type):
return FalModel(model_name, model_type) |