Update app.py
Browse files
app.py
CHANGED
@@ -9,7 +9,7 @@ import argparse
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from einops import rearrange
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from fire import Fire
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from PIL import ExifTags, Image
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import spaces
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import torch
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import torch.nn.functional as F
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@@ -20,7 +20,7 @@ from transformers import pipeline
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from flux.sampling import denoise, get_schedule, prepare, unpack
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from flux.util import (configs, embed_watermark, load_ae, load_clip, load_flow_model, load_t5)
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from huggingface_hub import login
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login(token=os.getenv('Token'))
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import torch
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@@ -61,7 +61,7 @@ is_schnell = False
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output_dir = 'result'
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add_sampling_metadata = True
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@torch.inference_mode()
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def edit(init_image, source_prompt, target_prompt, editing_strategy, num_steps, inject_step, guidance, seed):
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global ae, t5, clip, model, name, is_schnell, output_dir, add_sampling_metadata
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@@ -269,4 +269,4 @@ def create_demo(model_name: str, device: str = "cuda:0" if torch.cuda.is_availab
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return demo
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demo = create_demo("flux-dev", "cuda")
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demo.launch()
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from einops import rearrange
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from fire import Fire
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from PIL import ExifTags, Image
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#import spaces
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import torch
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import torch.nn.functional as F
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from flux.sampling import denoise, get_schedule, prepare, unpack
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from flux.util import (configs, embed_watermark, load_ae, load_clip, load_flow_model, load_t5)
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from huggingface_hub import login
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#login(token=os.getenv('Token'))
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import torch
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output_dir = 'result'
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add_sampling_metadata = True
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#@spaces.GPU(duration=120)
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@torch.inference_mode()
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def edit(init_image, source_prompt, target_prompt, editing_strategy, num_steps, inject_step, guidance, seed):
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global ae, t5, clip, model, name, is_schnell, output_dir, add_sampling_metadata
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return demo
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demo = create_demo("flux-dev", "cuda")
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demo.launch(share = True)
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