We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
i use api,this greatly increases flexibility:
def roop_api(_: gr.Blocks, app: FastAPI): @app.post("/roop/image") async def roop_image( source_image: str = Body("",title="source face image"), target_image: str = Body("",title="target image"), face_index: list[int] = Body([0],title="face index"), scale: int = Body(1,title="scale"), upscale_visibility: float = Body(1,title="upscale visibility"), face_restorer: str = Body("None",title="face restorer"), restorer_visibility: float = Body(1,title="face restorer"), model: str = Body("inswapper_128.onnx",title="model"), ): s_image = api.decode_base64_to_image(source_image) t_image = api.decode_base64_to_image(target_image) f_index = set(face_index) up_options = UpscaleOptions(scale=scale, upscale_visibility=upscale_visibility,face_restorer=get_face_restorer(face_restorer),restorer_visibility=restorer_visibility) use_model = get_full_model(model) if use_model is None: Exception("Model not found") result = swap_face(s_image, t_image, use_model, f_index, up_options) return {"image": api.encode_pil_to_base64(result.image())}
But this API cannot provide a choice of upscaler methods. How should I operate to add upscaler methods?
The text was updated successfully, but these errors were encountered:
it work for me :
def roop_api(_: gr.Blocks, app: FastAPI): @app.post("/roop/image") async def roop_image( source_image: str = Body("", title="source face image"), target_image: str = Body("", title="target image"), face_index: list[int] = Body([0], title="face index"), scale: int = Body(1, title="scale"), upscale_visibility: float = Body(1, title="upscale visibility"), face_restorer: str = Body("None", title="face restorer"), restorer_visibility: float = Body(1, title="face restorer"), model: str = Body("inswapper_128.onnx", title="model"), upscaler_name: str = Body("None", title="upscaler name"), ): s_image = api.decode_base64_to_image(source_image) t_image = api.decode_base64_to_image(target_image) f_index = set(face_index) upscalerx = None if upscaler_name != "None": for upscaler in shared.sd_upscalers: if upscaler.name == upscaler_name: upscalerx = upscaler up_options = UpscaleOptions(scale=scale, upscaler=upscalerx, upscale_visibility=upscale_visibility, face_restorer=get_face_restorer(face_restorer), restorer_visibility=restorer_visibility) use_model = get_full_model(model) if use_model is None: Exception("Model not found") result = swap_face(s_image, t_image, use_model, f_index, up_options) return {"image": api.encode_pil_to_base64(result.image())}
I hope to add this logical code
Sorry, something went wrong.
No branches or pull requests
i use api,this greatly increases flexibility:
But this API cannot provide a choice of upscaler methods. How should I operate to add upscaler methods?
The text was updated successfully, but these errors were encountered: