Sebastian Semeniuc commited on
Commit ·
4cc0dca
1
Parent(s): 78b0c60
refactor: add venv locally and num_of_images parameter and return list of images instead of string
Browse files- .gitignore +1 -0
- handler.py +7 -3
.gitignore
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/.venv
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handler.py
CHANGED
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@@ -78,12 +78,16 @@ class EndpointHandler():
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"""
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prompt = data.pop("inputs", None)
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image = data.pop("image", None)
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controlnet_type = data.pop("controlnet_type", None)
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# Check if neither prompt nor image is provided
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if prompt is None and image is None:
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return {"error": "Please provide a prompt and base64 encoded image."}
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# Check if a new controlnet is provided
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if controlnet_type is not None and controlnet_type != self.control_type:
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print(f"changing controlnet from {self.control_type} to {controlnet_type} using {CONTROLNET_MAPPING[controlnet_type]['model_id']} model")
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@@ -112,7 +116,7 @@ class EndpointHandler():
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image=control_image,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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num_images_per_prompt=
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height=height,
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width=width,
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controlnet_conditioning_scale=controlnet_conditioning_scale,
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@@ -120,8 +124,8 @@ class EndpointHandler():
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)
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# return
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return out.images
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# helper to decode input image
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def decode_base64_image(self, image_string):
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"""
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prompt = data.pop("inputs", None)
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image = data.pop("image", None)
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num_of_images = data.pop("numOfImages", None)
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controlnet_type = data.pop("controlnet_type", None)
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# Check if neither prompt nor image is provided
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if prompt is None and image is None:
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return {"error": "Please provide a prompt and base64 encoded image."}
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if num_of_images is None:
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num_of_images = 1
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# Check if a new controlnet is provided
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if controlnet_type is not None and controlnet_type != self.control_type:
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print(f"changing controlnet from {self.control_type} to {controlnet_type} using {CONTROLNET_MAPPING[controlnet_type]['model_id']} model")
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image=control_image,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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num_images_per_prompt=num_of_images,
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height=height,
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width=width,
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controlnet_conditioning_scale=controlnet_conditioning_scale,
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)
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# return the list of generated images
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return out.images
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# helper to decode input image
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def decode_base64_image(self, image_string):
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