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Update app.py
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app.py
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@@ -6,7 +6,7 @@ import gradio as gr
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import torch
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from PIL import Image
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from torchvision import transforms
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from dataclasses import dataclass
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import math
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from typing import Callable
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@@ -434,7 +434,7 @@ class FluxParams:
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num_heads: int = 24
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depth: int = 19
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depth_single_blocks: int = 38
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axes_dim: list = [16, 56, 56]
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theta: int = 10000
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qkv_bias: bool = True
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guidance_embed: bool = True
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@@ -567,7 +567,7 @@ def get_schedule(
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return timesteps.tolist()
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def denoise(
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model: Flux,
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img: Tensor,
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img_ids: Tensor,
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txt: Tensor,
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import torch
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from PIL import Image
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from torchvision import transforms
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from dataclasses import dataclass, field
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import math
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from typing import Callable
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num_heads: int = 24
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depth: int = 19
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depth_single_blocks: int = 38
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axes_dim: list[int] = field(default_factory=lambda: [16, 56, 56])
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theta: int = 10000
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qkv_bias: bool = True
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guidance_embed: bool = True
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return timesteps.tolist()
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def denoise(
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model: "Flux",
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img: Tensor,
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img_ids: Tensor,
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txt: Tensor,
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