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Yaron Koresh
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -33,7 +33,7 @@ def init_pool():
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port_inc()
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def pipe_t2i():
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PIPE = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, token=os.getenv("hf_token")
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return PIPE
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def pipe_i2i():
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@@ -161,6 +161,7 @@ function custom(){
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"""
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def infer(p):
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p1 = p["a"]
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p2 = p["b"]
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name = generate_random_string(12)+".png"
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@@ -192,9 +193,11 @@ def run(p1,p2,*result):
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p2_en = translate(p2,"english")
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p = {"a":p1_en,"b":p2_en}
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ln = len(result)
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rng = list(range(ln))
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arr = [p for _ in rng]
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out = None
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with Pool(ln, initializer=init_pool) as pool:
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out = pool.imap(infer,arr)
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return list(out)
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port_inc()
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def pipe_t2i():
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PIPE = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, token=os.getenv("hf_token"))
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return PIPE
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def pipe_i2i():
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"""
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def infer(p):
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print("infer: started")
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p1 = p["a"]
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p2 = p["b"]
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name = generate_random_string(12)+".png"
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p2_en = translate(p2,"english")
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p = {"a":p1_en,"b":p2_en}
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ln = len(result)
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print("images: "+str(ln))
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rng = list(range(ln))
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arr = [p for _ in rng]
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out = None
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ptint("Starting pool!")
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with Pool(ln, initializer=init_pool) as pool:
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out = pool.imap(infer,arr)
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return list(out)
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