aidlab/AiDA_Python
6
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

feat flux 部署

Browse Source 
fix
This commit is contained in:
zhouchengrong
2024-12-01 15:30:32 +08:00
parent e1f19f62b3
commit 5920c78a6d
2 changed files with 9 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
app/core/config.py
View File

@@ -100,9 +100,12 @@ SR_MINIO_BUCKET = "aida-users"
SR_RABBITMQ_QUEUES = os.getenv("SR_RABBITMQ_QUEUES", f"SuperResolution{RABBITMQ_ENV}") SR_RABBITMQ_QUEUES = os.getenv("SR_RABBITMQ_QUEUES", f"SuperResolution{RABBITMQ_ENV}")
# GenerateImage service config # GenerateImage service config
GI_MODEL_NAME = 'stable_diffusion_xl'
FAST_GI_MODEL_URL = '10.1.1.243:10011' FAST_GI_MODEL_URL = '10.1.1.243:10011'
GI_MODEL_URL = '10.1.1.240:10041' FAST_GI_MODEL_NAME = 'stable_diffusion_xl'
GI_MODEL_URL = '10.1.1.240:10061'
GI_MODEL_NAME = 'flux'
GI_MINIO_BUCKET = "aida-users" GI_MINIO_BUCKET = "aida-users"
GI_RABBITMQ_QUEUES = os.getenv("GI_RABBITMQ_QUEUES", f"GenerateImage{RABBITMQ_ENV}") GI_RABBITMQ_QUEUES = os.getenv("GI_RABBITMQ_QUEUES", f"GenerateImage{RABBITMQ_ENV}")
GI_SYS_IMAGE_URL = "aida-sys-image/generate_image/white_image.jpg" GI_SYS_IMAGE_URL = "aida-sys-image/generate_image/white_image.jpg"

8
app/service/generate_image/service_generate_image.py
View File

@@ -138,8 +138,8 @@ class GenerateImage:
image_obj = np.array(images, dtype=np.float16).reshape((-1, 1024, 1024, 3)) image_obj = np.array(images, dtype=np.float16).reshape((-1, 1024, 1024, 3))
input_text = grpcclient.InferInput("prompt", text_obj.shape, np_to_triton_dtype(text_obj.dtype)) input_text = grpcclient.InferInput("prompt", text_obj.shape, np_to_triton_dtype(text_obj.dtype))
input_image = grpcclient.InferInput("input_image", image_obj.shape, "FP16") input_image = grpcclient.InferInput("input_image", image_obj.shape, np_to_triton_dtype(image_obj.dtype))
input_mode = grpcclient.InferInput("mode", mode_obj.shape, np_to_triton_dtype(text_obj.dtype)) input_mode = grpcclient.InferInput("mode", mode_obj.shape, np_to_triton_dtype(mode_obj.dtype))
input_text.set_data_from_numpy(text_obj) input_text.set_data_from_numpy(text_obj)
input_image.set_data_from_numpy(image_obj) input_image.set_data_from_numpy(image_obj)
@@ -185,12 +185,12 @@ def infer_cancel(tasks_id):
if __name__ == '__main__': if __name__ == '__main__':
rd = GenerateImageModel( rd = GenerateImageModel(
tasks_id="123-89", tasks_id="123-89",
prompt='skeleton sitting by the side of a river looking soulful, concert poster, 4k, artistic', prompt='a fabric print, flower, yellow, 4k, hud',
image_url="aida-collection-element/87/Printboard/842c09cf-7297-42d9-9e6e-9c17d4a13cb5.jpg", image_url="aida-collection-element/87/Printboard/842c09cf-7297-42d9-9e6e-9c17d4a13cb5.jpg",
mode='txt2img', mode='txt2img',
category="test", category="test",
gender="male", gender="male",
version="fast" version="high"
) )
server = GenerateImage(rd) server = GenerateImage(rd)
print(server.get_result()) print(server.get_result())