thejagstudio commited on
Commit
dc967e3
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1 Parent(s): 7cbb4c7

Update main.py

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Files changed (1) hide show
  1. main.py +28 -4
main.py CHANGED
@@ -13,8 +13,32 @@ import numpy as np
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  processor = SegformerImageProcessor.from_pretrained("mattmdjaga/segformer_b2_clothes")
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  model = TFSegformerForSemanticSegmentation.from_pretrained("mattmdjaga/segformer_b2_clothes")
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-
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  app = Flask(__name__)
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  cors = CORS(app)
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  app.config['CORS_HEADERS'] = 'Content-Type'
@@ -54,8 +78,8 @@ def generator():
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  prompt ="A "+cameraAngle+" portrait of a "+age+" "+base+" with a "+expression+" and "+bodyType+" body, "+action+", "+boobs+" boobs, "+ass+" ass, "+clothing+", "+hairStyle+" hair, "+quality+" quality, "+clothingColor+" "+clothingType+", "+clothingMaterial+" with "+clothingPattern+", "+lighting+" in "+setting+" with "+background+" in background"
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  model = "dreamshaperXL10_alpha2.safetensors [c8afe2ef]"
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- if style == "photographic":
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- model = "juggernautXL_v45.safetensors [e75f5471]"
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  # model = "sd_xl_base_1.0.safetensors [be9edd61]"
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  payload = {
 
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  processor = SegformerImageProcessor.from_pretrained("mattmdjaga/segformer_b2_clothes")
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  model = TFSegformerForSemanticSegmentation.from_pretrained("mattmdjaga/segformer_b2_clothes")
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+ # d2c2605e-b4a5-4ab6-aa32-fcf81e6d27a2
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+ # 022ee431-4073-424c-8298-68cb75352785
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+ # e8346eb2-6187-4748-a42f-7241580ee1f1
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+ # ae337a18-427c-4035-a73b-a89b97a14b6c
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+ # c177417d-8b42-423a-8dc1-4b02c7a686ae
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+ # 2347e0bf-ab79-4654-817e-684f0d9e6dff
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+ # d01a7eb8-9f10-4abe-b142-fd5248fb7e88
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+ # 5e6a594a-4bc6-4b06-bed6-5ad57804e307
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+ # 7f6d4a3d-f3e3-4abf-ab8d-a21bb64a5ee7
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+ # 39110d90-70eb-4fed-bb40-3d0bf52c73bf
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+ # 4b35363f-a524-418b-8b2c-ee141e642a8b
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+ # dc80a8a4-0b98-4d54-b3e4-b7c797bc2527
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+ # 5113d4e5-6574-4115-bdd0-e02b5d7cfb87
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+ # aba3968d-b924-45d6-a98f-90ff6b12989c
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+ # da6053eb-c352-4374-a459-2a9a5eaaa64b
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+ # d46c04cb-6ce1-4657-bbfd-8c0c77d6a162
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+ # 06b2ac41-5dc0-461e-85d8-abbac08c5491
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+ # 1008a105-be30-4564-b5d2-edbd4e6a5c3d
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+ # 596e85a1-b3ae-49fb-ae11-cee1c4f78eee
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+ # 3d1ca348-aed2-4fa3-86dd-7583f2f5ef4a
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+ # eaca0864-70a4-4653-8dc7-f5ba3918326f
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+ # fcae63ee-262a-44d9-8941-cdf36ae371ad
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+ # 9f4b2ef5-e6b5-42a9-b459-8958402dfcc5
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+ # 4d012f3f-13f7-4a92-b1f6-ac0e65002803
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+ # 72b18186-fb64-46a4-b4f2-a91af84dd398
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+ # 501eba46-a956-4649-96aa-2d9cc0f048bf
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  app = Flask(__name__)
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  cors = CORS(app)
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  app.config['CORS_HEADERS'] = 'Content-Type'
 
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  prompt ="A "+cameraAngle+" portrait of a "+age+" "+base+" with a "+expression+" and "+bodyType+" body, "+action+", "+boobs+" boobs, "+ass+" ass, "+clothing+", "+hairStyle+" hair, "+quality+" quality, "+clothingColor+" "+clothingType+", "+clothingMaterial+" with "+clothingPattern+", "+lighting+" in "+setting+" with "+background+" in background"
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  model = "dreamshaperXL10_alpha2.safetensors [c8afe2ef]"
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+ # if style == "photographic":
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+ # model = "juggernautXL_v45.safetensors [e75f5471]"
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  # model = "sd_xl_base_1.0.safetensors [be9edd61]"
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  payload = {