Spaces:
Paused
Paused
rebuilt
Browse files- .gitignore +5 -0
- __pycache__/app.cpython-38.pyc +0 -0
- app.py +40 -0
- flux/__pycache__/__init__.cpython-310.pyc +0 -0
- flux/__pycache__/block.cpython-310.pyc +0 -0
- flux/__pycache__/condition.cpython-310.pyc +0 -0
- flux/__pycache__/generate.cpython-310.pyc +0 -0
- flux/__pycache__/lora_controller.cpython-310.pyc +0 -0
- flux/__pycache__/padding_orthogonalization.cpython-310.pyc +0 -0
- flux/__pycache__/pipeline_tools.cpython-310.pyc +0 -0
- flux/__pycache__/transformer.cpython-310.pyc +0 -0
- requirements.txt +13 -942
.gitignore
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_pycache__/
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flux/_pycache__/
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.python-version
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.requirements.txt
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run.sh
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__pycache__/app.cpython-38.pyc
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Binary file (11.1 kB). View file
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app.py
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@@ -98,6 +98,33 @@ def _to_pil_rgba(img: Any) -> Image.Image:
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pil = pil.convert("RGBA")
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return pil
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def _place_subject_on_canvas(
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subject_rgba: Image.Image,
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canvas_size: int,
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@@ -212,10 +239,14 @@ def apply_style(image: Image.Image, style: str, width: int = 1024, height: int =
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def generate_background_local(styled_image: Image.Image, prompt: str, steps: int = 10, width: int = 1024, height: int = 1024) -> Image.Image:
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"""Generate background using local FLUX model"""
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if not FLUX_AVAILABLE:
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# Return a simple gradient background if FLUX is not available
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if styled_image is None:
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return Image.new("RGB", (width, height), (200, 200, 255))
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# Create a simple colored background
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bg = Image.new("RGB", (width, height), (200, 220, 255))
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if styled_image.mode == "RGBA":
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@@ -228,6 +259,9 @@ def generate_background_local(styled_image: Image.Image, prompt: str, steps: int
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if styled_image is None:
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return Image.new("RGB", (width, height), (255, 255, 255))
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# Convert to RGB for background generation
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img_rgb = styled_image.convert("RGB")
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# Ensure image is RGBA
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if image.mode != "RGBA":
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image = image.convert("RGBA")
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# Generate background using local model only
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return generate_background_local(image, prompt, steps, width, height)
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pil = pil.convert("RGBA")
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return pil
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def _center_subject_on_canvas(subject_rgba: Image.Image, canvas_width: int, canvas_height: int) -> Image.Image:
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"""
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Center the subject image on a transparent canvas that matches the requested size.
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"""
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if subject_rgba is None:
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return Image.new("RGBA", (canvas_width, canvas_height), (0, 0, 0, 0))
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canvas = Image.new("RGBA", (canvas_width, canvas_height), (0, 0, 0, 0))
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paste_x = (canvas_width - subject_rgba.width) // 2
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paste_y = (canvas_height - subject_rgba.height) // 2
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# If the subject is larger than canvas, crop to fit
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if subject_rgba.width > canvas_width or subject_rgba.height > canvas_height:
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subject_rgba = subject_rgba.crop(
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(
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max(0, -paste_x),
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max(0, -paste_y),
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max(0, -paste_x) + min(canvas_width, subject_rgba.width),
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max(0, -paste_y) + min(canvas_height, subject_rgba.height),
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)
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)
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paste_x = max(0, paste_x)
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paste_y = max(0, paste_y)
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canvas.alpha_composite(subject_rgba, dest=(paste_x, paste_y))
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return canvas
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def _place_subject_on_canvas(
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subject_rgba: Image.Image,
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canvas_size: int,
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def generate_background_local(styled_image: Image.Image, prompt: str, steps: int = 10, width: int = 1024, height: int = 1024) -> Image.Image:
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"""Generate background using local FLUX model"""
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width = int(width)
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height = int(height)
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if not FLUX_AVAILABLE:
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# Return a simple gradient background if FLUX is not available
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if styled_image is None:
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return Image.new("RGB", (width, height), (200, 200, 255))
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+
styled_image = _center_subject_on_canvas(styled_image, width, height)
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# Create a simple colored background
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| 251 |
bg = Image.new("RGB", (width, height), (200, 220, 255))
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if styled_image.mode == "RGBA":
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| 260 |
if styled_image is None:
|
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return Image.new("RGB", (width, height), (255, 255, 255))
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+
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+
# Ensure the subject image matches requested canvas size
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+
styled_image = _center_subject_on_canvas(styled_image, width, height)
|
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| 266 |
# Convert to RGB for background generation
|
| 267 |
img_rgb = styled_image.convert("RGB")
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# Ensure image is RGBA
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if image.mode != "RGBA":
|
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image = image.convert("RGBA")
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width = int(width)
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height = int(height)
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# Center original uploaded image on a transparent canvas without resizing
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image = _center_subject_on_canvas(image, width, height)
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| 431 |
# Generate background using local model only
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return generate_background_local(image, prompt, steps, width, height)
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flux/__pycache__/__init__.cpython-310.pyc
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flux/__pycache__/block.cpython-310.pyc
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flux/__pycache__/condition.cpython-310.pyc
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flux/__pycache__/generate.cpython-310.pyc
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flux/__pycache__/lora_controller.cpython-310.pyc
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flux/__pycache__/padding_orthogonalization.cpython-310.pyc
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flux/__pycache__/pipeline_tools.cpython-310.pyc
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flux/__pycache__/transformer.cpython-310.pyc
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Binary file (4.23 kB). View file
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requirements.txt
CHANGED
|
@@ -1,943 +1,14 @@
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| 1 |
-
|
| 2 |
-
# uv pip compile pyproject.toml
|
| 3 |
-
absl-py==2.3.1
|
| 4 |
-
# via
|
| 5 |
-
# array-record
|
| 6 |
-
# dm-tree
|
| 7 |
-
# etils
|
| 8 |
-
# keras
|
| 9 |
-
# tensorboard
|
| 10 |
-
# tensorflow
|
| 11 |
-
# tensorflow-datasets
|
| 12 |
-
# tensorflow-metadata
|
| 13 |
-
accelerate==1.10.1
|
| 14 |
-
# via peft
|
| 15 |
-
aiofiles==24.1.0
|
| 16 |
-
# via gradio
|
| 17 |
-
aiohappyeyeballs==2.6.1
|
| 18 |
-
# via aiohttp
|
| 19 |
-
aiohttp==3.13.0
|
| 20 |
-
# via
|
| 21 |
-
# datasets
|
| 22 |
-
# fsspec
|
| 23 |
-
# gcsfs
|
| 24 |
-
aiosignal==1.4.0
|
| 25 |
-
# via aiohttp
|
| 26 |
-
annotated-types==0.7.0
|
| 27 |
-
# via pydantic
|
| 28 |
-
antlr4-python3-runtime==4.9.3
|
| 29 |
-
# via
|
| 30 |
-
# hydra-core
|
| 31 |
-
# omegaconf
|
| 32 |
-
anyio==4.11.0
|
| 33 |
-
# via
|
| 34 |
-
# gradio
|
| 35 |
-
# httpx
|
| 36 |
-
# jupyter-server
|
| 37 |
-
# starlette
|
| 38 |
-
argon2-cffi==25.1.0
|
| 39 |
-
# via jupyter-server
|
| 40 |
-
argon2-cffi-bindings==25.1.0
|
| 41 |
-
# via argon2-cffi
|
| 42 |
-
array-record==0.8.1
|
| 43 |
-
# via tensorflow-datasets
|
| 44 |
-
arrow==1.3.0
|
| 45 |
-
# via isoduration
|
| 46 |
-
asttokens==3.0.0
|
| 47 |
-
# via stack-data
|
| 48 |
-
astunparse==1.6.3
|
| 49 |
-
# via tensorflow
|
| 50 |
-
async-lru==2.0.5
|
| 51 |
-
# via jupyterlab
|
| 52 |
-
attrs==25.4.0
|
| 53 |
-
# via
|
| 54 |
-
# aiohttp
|
| 55 |
-
# dm-tree
|
| 56 |
-
# jsonschema
|
| 57 |
-
# referencing
|
| 58 |
-
babel==2.17.0
|
| 59 |
-
# via jupyterlab-server
|
| 60 |
-
beautifulsoup4==4.14.2
|
| 61 |
-
# via
|
| 62 |
-
# gdown
|
| 63 |
-
# nbconvert
|
| 64 |
-
bitsandbytes==0.45.2
|
| 65 |
-
# via ads-gen (pyproject.toml)
|
| 66 |
-
bleach==6.2.0
|
| 67 |
-
# via nbconvert
|
| 68 |
-
brotli==1.1.0
|
| 69 |
-
# via gradio
|
| 70 |
-
cachetools==6.2.0
|
| 71 |
-
# via google-auth
|
| 72 |
-
certifi==2025.10.5
|
| 73 |
-
# via
|
| 74 |
-
# httpcore
|
| 75 |
-
# httpx
|
| 76 |
-
# requests
|
| 77 |
-
cffi==2.0.0
|
| 78 |
-
# via argon2-cffi-bindings
|
| 79 |
-
charset-normalizer==3.4.3
|
| 80 |
-
# via requests
|
| 81 |
-
click==8.3.0
|
| 82 |
-
# via
|
| 83 |
-
# typer
|
| 84 |
-
# uvicorn
|
| 85 |
-
comm==0.2.3
|
| 86 |
-
# via
|
| 87 |
-
# ipykernel
|
| 88 |
-
# ipywidgets
|
| 89 |
-
# via matplotlib
|
| 90 |
-
cycler==0.12.1
|
| 91 |
-
# via matplotlib
|
| 92 |
-
datasets==2.21.0
|
| 93 |
-
# via ads-gen (pyproject.toml)
|
| 94 |
-
debugpy==1.8.17
|
| 95 |
-
# via ipykernel
|
| 96 |
-
decorator==5.2.1
|
| 97 |
-
# via
|
| 98 |
-
# gcsfs
|
| 99 |
-
# ipython
|
| 100 |
-
defusedxml==0.7.1
|
| 101 |
-
# via nbconvert
|
| 102 |
-
diffusers==0.35.0
|
| 103 |
-
# via ads-gen (pyproject.toml)
|
| 104 |
-
dill==0.3.8
|
| 105 |
-
# via
|
| 106 |
-
# datasets
|
| 107 |
-
# multiprocess
|
| 108 |
-
dm-tree==0.1.9
|
| 109 |
-
# via tensorflow-datasets
|
| 110 |
-
docstring-parser==0.17.0
|
| 111 |
-
# via simple-parsing
|
| 112 |
-
dreamsim==0.2.1
|
| 113 |
-
# via ads-gen (pyproject.toml)
|
| 114 |
-
einops==0.6.1
|
| 115 |
-
# via
|
| 116 |
-
# ads-gen (pyproject.toml)
|
| 117 |
-
# etils
|
| 118 |
-
etils==1.13.0
|
| 119 |
-
# via
|
| 120 |
-
# array-record
|
| 121 |
-
# tensorflow-datasets
|
| 122 |
-
executing==2.2.1
|
| 123 |
-
# via stack-data
|
| 124 |
-
faiss-cpu==1.12.0
|
| 125 |
-
# via ads-gen (pyproject.toml)
|
| 126 |
-
fastapi==0.118.2
|
| 127 |
-
# via gradio
|
| 128 |
-
fastjsonschema==2.21.2
|
| 129 |
-
# via nbformat
|
| 130 |
-
ffmpy==0.6.2
|
| 131 |
-
# via gradio
|
| 132 |
-
filelock==3.20.0
|
| 133 |
-
# via
|
| 134 |
-
# datasets
|
| 135 |
-
# diffusers
|
| 136 |
-
# gdown
|
| 137 |
-
# huggingface-hub
|
| 138 |
-
# torch
|
| 139 |
-
# transformers
|
| 140 |
-
flatbuffers==25.9.23
|
| 141 |
-
# via tensorflow
|
| 142 |
-
fonttools==4.60.1
|
| 143 |
-
# via matplotlib
|
| 144 |
-
fqdn==1.5.1
|
| 145 |
-
# via jsonschema
|
| 146 |
-
frozenlist==1.8.0
|
| 147 |
-
# via
|
| 148 |
-
# aiohttp
|
| 149 |
-
# aiosignal
|
| 150 |
-
fsspec==2023.12.2
|
| 151 |
-
# via
|
| 152 |
-
# datasets
|
| 153 |
-
# etils
|
| 154 |
-
# gcsfs
|
| 155 |
-
# gradio-client
|
| 156 |
-
# huggingface-hub
|
| 157 |
-
# torch
|
| 158 |
-
ftfy==6.3.1
|
| 159 |
-
# via open-clip-torch
|
| 160 |
-
gast==0.6.0
|
| 161 |
-
# via tensorflow
|
| 162 |
-
gcsfs==2023.12.2.post1
|
| 163 |
-
# via ads-gen (pyproject.toml)
|
| 164 |
-
gdown==4.7.3
|
| 165 |
-
# via ads-gen (pyproject.toml)
|
| 166 |
-
google-api-core
|
| 167 |
-
# via
|
| 168 |
-
# google-cloud-core
|
| 169 |
-
# google-cloud-storage
|
| 170 |
-
google-auth==2.41.1
|
| 171 |
-
# via
|
| 172 |
-
# gcsfs
|
| 173 |
-
# google-api-core
|
| 174 |
-
# google-auth-oauthlib
|
| 175 |
-
# google-cloud-core
|
| 176 |
-
# google-cloud-storage
|
| 177 |
-
google-auth-oauthlib==1.2.2
|
| 178 |
-
# via gcsfs
|
| 179 |
-
google-cloud-core==2.4.3
|
| 180 |
-
# via google-cloud-storage
|
| 181 |
-
google-cloud-storage==3.4.1
|
| 182 |
-
# via gcsfs
|
| 183 |
-
google-crc32c==1.7.1
|
| 184 |
-
# via
|
| 185 |
-
# google-cloud-storage
|
| 186 |
-
# google-resumable-media
|
| 187 |
-
google-pasta==0.2.0
|
| 188 |
-
# via tensorflow
|
| 189 |
-
google-resumable-media==2.7.2
|
| 190 |
-
# via google-cloud-storage
|
| 191 |
-
googleapis-common-protos
|
| 192 |
-
# via
|
| 193 |
-
# google-api-core
|
| 194 |
-
# tensorflow-metadata
|
| 195 |
-
gradio==5.49.1
|
| 196 |
-
# via ads-gen (pyproject.toml)
|
| 197 |
-
gradio-client==1.13.3
|
| 198 |
-
# via gradio
|
| 199 |
-
groovy==0.1.2
|
| 200 |
-
# via gradio
|
| 201 |
-
grpcio==1.75.1
|
| 202 |
-
# via
|
| 203 |
-
# tensorboard
|
| 204 |
-
# tensorflow
|
| 205 |
-
h11==0.16.0
|
| 206 |
-
# via
|
| 207 |
-
# httpcore
|
| 208 |
-
# uvicorn
|
| 209 |
-
h5py==3.14.0
|
| 210 |
-
# via
|
| 211 |
-
# keras
|
| 212 |
-
# tensorflow
|
| 213 |
-
hf-xet==1.1.10
|
| 214 |
-
# via huggingface-hub
|
| 215 |
-
httpcore==1.0.9
|
| 216 |
-
# via httpx
|
| 217 |
-
httpx==0.28.1
|
| 218 |
-
# via
|
| 219 |
-
# gradio
|
| 220 |
-
# gradio-client
|
| 221 |
-
# jupyterlab
|
| 222 |
-
# safehttpx
|
| 223 |
-
huggingface-hub==0.35.3
|
| 224 |
-
# via
|
| 225 |
-
# accelerate
|
| 226 |
-
# datasets
|
| 227 |
-
# diffusers
|
| 228 |
-
# gradio
|
| 229 |
-
# gradio-client
|
| 230 |
-
# open-clip-torch
|
| 231 |
-
# peft
|
| 232 |
-
# timm
|
| 233 |
-
# tokenizers
|
| 234 |
-
# transformers
|
| 235 |
-
hydra-core==1.3.2
|
| 236 |
-
# via ads-gen (pyproject.toml)
|
| 237 |
-
idna==3.10
|
| 238 |
-
# via
|
| 239 |
-
# anyio
|
| 240 |
-
# httpx
|
| 241 |
-
# jsonschema
|
| 242 |
-
# requests
|
| 243 |
-
# yarl
|
| 244 |
-
imageio==2.37.0
|
| 245 |
-
# via scikit-image
|
| 246 |
-
immutabledict==4.2.1
|
| 247 |
-
# via tensorflow-datasets
|
| 248 |
-
importlib-metadata==8.7.0
|
| 249 |
-
# via diffusers
|
| 250 |
-
importlib-resources==6.5.2
|
| 251 |
-
# via etils
|
| 252 |
-
ipykernel==6.30.1
|
| 253 |
-
# via
|
| 254 |
-
# jupyter
|
| 255 |
-
# jupyter-console
|
| 256 |
-
# jupyterlab
|
| 257 |
-
ipython
|
| 258 |
-
# via
|
| 259 |
-
# ipykernel
|
| 260 |
-
# ipywidgets
|
| 261 |
-
# jupyter-console
|
| 262 |
-
ipython-pygments-lexers==1.1.1
|
| 263 |
-
# via ipython
|
| 264 |
-
ipywidgets==8.1.7
|
| 265 |
-
# via jupyter
|
| 266 |
-
isoduration==20.11.0
|
| 267 |
-
# via jsonschema
|
| 268 |
-
jedi==0.19.2
|
| 269 |
-
# via ipython
|
| 270 |
-
jinja2==3.1.6
|
| 271 |
-
# via
|
| 272 |
-
# gradio
|
| 273 |
-
# jupyter-server
|
| 274 |
-
# jupyterlab
|
| 275 |
-
# jupyterlab-server
|
| 276 |
-
# nbconvert
|
| 277 |
-
# torch
|
| 278 |
-
joblib==1.5.2
|
| 279 |
-
# via
|
| 280 |
-
# prdc
|
| 281 |
-
# scikit-learn
|
| 282 |
-
json5==0.12.1
|
| 283 |
-
# via jupyterlab-server
|
| 284 |
-
jsonpointer==3.0.0
|
| 285 |
-
# via jsonschema
|
| 286 |
-
jsonschema==4.25.1
|
| 287 |
-
# via
|
| 288 |
-
# jupyter-events
|
| 289 |
-
# jupyterlab-server
|
| 290 |
-
# nbformat
|
| 291 |
-
jsonschema-specifications==2025.9.1
|
| 292 |
-
# via jsonschema
|
| 293 |
-
jupyter==1.1.1
|
| 294 |
-
# via ads-gen (pyproject.toml)
|
| 295 |
-
jupyter-client==8.6.3
|
| 296 |
-
# via
|
| 297 |
-
# ipykernel
|
| 298 |
-
# jupyter-console
|
| 299 |
-
# jupyter-server
|
| 300 |
-
# nbclient
|
| 301 |
-
jupyter-console==6.6.3
|
| 302 |
-
# via jupyter
|
| 303 |
-
jupyter-core==5.8.1
|
| 304 |
-
# via
|
| 305 |
-
# ipykernel
|
| 306 |
-
# jupyter-client
|
| 307 |
-
# jupyter-console
|
| 308 |
-
# jupyter-server
|
| 309 |
-
# jupyterlab
|
| 310 |
-
# nbclient
|
| 311 |
-
# nbconvert
|
| 312 |
-
# nbformat
|
| 313 |
-
jupyter-events==0.12.0
|
| 314 |
-
# via jupyter-server
|
| 315 |
-
jupyter-lsp==2.3.0
|
| 316 |
-
# via jupyterlab
|
| 317 |
-
jupyter-server==2.17.0
|
| 318 |
-
# via
|
| 319 |
-
# jupyter-lsp
|
| 320 |
-
# jupyterlab
|
| 321 |
-
# jupyterlab-server
|
| 322 |
-
# notebook
|
| 323 |
-
# notebook-shim
|
| 324 |
-
jupyter-server-terminals==0.5.3
|
| 325 |
-
# via jupyter-server
|
| 326 |
-
jupyterlab==4.4.9
|
| 327 |
-
# via
|
| 328 |
-
# jupyter
|
| 329 |
-
# notebook
|
| 330 |
-
jupyterlab-pygments==0.3.0
|
| 331 |
-
# via nbconvert
|
| 332 |
-
jupyterlab-server==2.27.3
|
| 333 |
-
# via
|
| 334 |
-
# jupyterlab
|
| 335 |
-
# notebook
|
| 336 |
-
jupyterlab-widgets==3.0.15
|
| 337 |
-
# via ipywidgets
|
| 338 |
-
keras==3.11.3
|
| 339 |
-
# via tensorflow
|
| 340 |
-
kiwisolver==1.4.9
|
| 341 |
-
# via matplotlib
|
| 342 |
-
lark==1.3.0
|
| 343 |
-
# via rfc3987-syntax
|
| 344 |
-
lazy-loader==0.4
|
| 345 |
-
# via scikit-image
|
| 346 |
-
libclang==18.1.1
|
| 347 |
-
# via tensorflow
|
| 348 |
-
markdown==3.9
|
| 349 |
-
# via tensorboard
|
| 350 |
-
markdown-it-py==4.0.0
|
| 351 |
-
# via rich
|
| 352 |
-
markupsafe==3.0.3
|
| 353 |
-
# via
|
| 354 |
-
# gradio
|
| 355 |
-
# jinja2
|
| 356 |
-
# nbconvert
|
| 357 |
-
# werkzeug
|
| 358 |
-
matplotlib==3.10.7
|
| 359 |
-
# via
|
| 360 |
-
# ads-gen (pyproject.toml)
|
| 361 |
-
# seaborn
|
| 362 |
-
matplotlib-inline==0.1.7
|
| 363 |
-
# via
|
| 364 |
-
# ipykernel
|
| 365 |
-
# ipython
|
| 366 |
-
mdurl==0.1.2
|
| 367 |
-
# via markdown-it-py
|
| 368 |
-
mistune==3.1.4
|
| 369 |
-
# via nbconvert
|
| 370 |
-
ml-dtypes==0.5.3
|
| 371 |
-
# via
|
| 372 |
-
# keras
|
| 373 |
-
# tensorflow
|
| 374 |
-
mpmath==1.3.0
|
| 375 |
-
# via sympy
|
| 376 |
-
multidict==6.7.0
|
| 377 |
-
# via
|
| 378 |
-
# aiohttp
|
| 379 |
-
# yarl
|
| 380 |
-
multiprocess==0.70.16
|
| 381 |
-
# via
|
| 382 |
-
# ads-gen (pyproject.toml)
|
| 383 |
-
# datasets
|
| 384 |
-
namex==0.1.0
|
| 385 |
-
# via keras
|
| 386 |
-
nbclient==0.10.2
|
| 387 |
-
# via nbconvert
|
| 388 |
-
nbconvert==7.16.6
|
| 389 |
-
# via
|
| 390 |
-
# jupyter
|
| 391 |
-
# jupyter-server
|
| 392 |
-
nbformat==5.10.4
|
| 393 |
-
# via
|
| 394 |
-
# jupyter-server
|
| 395 |
-
# nbclient
|
| 396 |
-
# nbconvert
|
| 397 |
-
nest-asyncio==1.6.0
|
| 398 |
-
# via ipykernel
|
| 399 |
-
networkx
|
| 400 |
-
# via
|
| 401 |
-
# scikit-image
|
| 402 |
-
# torch
|
| 403 |
-
notebook==7.4.7
|
| 404 |
-
# via jupyter
|
| 405 |
-
notebook-shim==0.2.4
|
| 406 |
-
# via
|
| 407 |
-
# jupyterlab
|
| 408 |
-
# notebook
|
| 409 |
-
numpy==1.26.4
|
| 410 |
-
# via
|
| 411 |
-
# accelerate
|
| 412 |
-
# bitsandbytes
|
| 413 |
-
# contourpy
|
| 414 |
-
# datasets
|
| 415 |
-
# diffusers
|
| 416 |
-
# dm-tree
|
| 417 |
-
# dreamsim
|
| 418 |
-
# etils
|
| 419 |
-
# faiss-cpu
|
| 420 |
-
# gradio
|
| 421 |
-
# h5py
|
| 422 |
-
# imageio
|
| 423 |
-
# keras
|
| 424 |
-
# matplotlib
|
| 425 |
-
# ml-dtypes
|
| 426 |
-
# opencv-python
|
| 427 |
-
# pandas
|
| 428 |
-
# peft
|
| 429 |
-
# prdc
|
| 430 |
-
# pytorch-fid
|
| 431 |
-
# scikit-image
|
| 432 |
-
# scikit-learn
|
| 433 |
-
# scipy
|
| 434 |
-
# seaborn
|
| 435 |
-
# tensorboard
|
| 436 |
-
# tensorflow
|
| 437 |
-
# tensorflow-datasets
|
| 438 |
-
# tifffile
|
| 439 |
-
# torchvision
|
| 440 |
-
# transformers
|
| 441 |
-
nvidia-cublas-cu12==12.6.4.1
|
| 442 |
-
# via
|
| 443 |
-
# nvidia-cudnn-cu12
|
| 444 |
-
# nvidia-cusolver-cu12
|
| 445 |
-
# torch
|
| 446 |
-
nvidia-cuda-cupti-cu12==12.6.80
|
| 447 |
-
# via torch
|
| 448 |
-
nvidia-cuda-nvrtc-cu12==12.6.77
|
| 449 |
-
# via torch
|
| 450 |
-
nvidia-cuda-runtime-cu12==12.6.77
|
| 451 |
-
# via torch
|
| 452 |
-
nvidia-cudnn-cu12==9.5.1.17
|
| 453 |
-
# via torch
|
| 454 |
-
nvidia-cufft-cu12==11.3.0.4
|
| 455 |
-
# via torch
|
| 456 |
-
nvidia-cufile-cu12==1.11.1.6
|
| 457 |
-
# via torch
|
| 458 |
-
nvidia-curand-cu12==10.3.7.77
|
| 459 |
-
# via torch
|
| 460 |
-
nvidia-cusolver-cu12==11.7.1.2
|
| 461 |
-
# via torch
|
| 462 |
-
nvidia-cusparse-cu12==12.5.4.2
|
| 463 |
-
# via
|
| 464 |
-
# nvidia-cusolver-cu12
|
| 465 |
-
# torch
|
| 466 |
-
nvidia-cusparselt-cu12==0.6.3
|
| 467 |
-
# via torch
|
| 468 |
-
nvidia-ml-py==13.580.82
|
| 469 |
-
# via nvitop
|
| 470 |
-
nvidia-nccl-cu12==2.26.2
|
| 471 |
-
# via torch
|
| 472 |
-
nvidia-nvjitlink-cu12==12.6.85
|
| 473 |
-
# via
|
| 474 |
-
# nvidia-cufft-cu12
|
| 475 |
-
# nvidia-cusolver-cu12
|
| 476 |
-
# nvidia-cusparse-cu12
|
| 477 |
-
# torch
|
| 478 |
-
nvidia-nvtx-cu12==12.6.77
|
| 479 |
-
# via torch
|
| 480 |
-
nvitop==1.5.3
|
| 481 |
-
# via ads-gen (pyproject.toml)
|
| 482 |
-
oauthlib==3.3.1
|
| 483 |
-
# via requests-oauthlib
|
| 484 |
-
omegaconf==2.3.0
|
| 485 |
-
# via
|
| 486 |
-
# ads-gen (pyproject.toml)
|
| 487 |
-
# hydra-core
|
| 488 |
-
open-clip-torch==2.32.0
|
| 489 |
-
# via dreamsim
|
| 490 |
-
opencv-python==4.11.0.86
|
| 491 |
-
# via ads-gen (pyproject.toml)
|
| 492 |
-
opt-einsum==3.4.0
|
| 493 |
-
# via tensorflow
|
| 494 |
-
optree==0.17.0
|
| 495 |
-
# via keras
|
| 496 |
-
orjson==3.11.3
|
| 497 |
-
# via gradio
|
| 498 |
-
packaging==25.0
|
| 499 |
-
# via
|
| 500 |
-
# accelerate
|
| 501 |
-
# datasets
|
| 502 |
-
# faiss-cpu
|
| 503 |
-
# gradio
|
| 504 |
-
# gradio-client
|
| 505 |
-
# huggingface-hub
|
| 506 |
-
# hydra-core
|
| 507 |
-
# ipykernel
|
| 508 |
-
# jupyter-events
|
| 509 |
-
# jupyter-server
|
| 510 |
-
# jupyterlab
|
| 511 |
-
# jupyterlab-server
|
| 512 |
-
# keras
|
| 513 |
-
# lazy-loader
|
| 514 |
-
# matplotlib
|
| 515 |
-
# nbconvert
|
| 516 |
-
# peft
|
| 517 |
-
# scikit-image
|
| 518 |
-
# tensorboard
|
| 519 |
-
# tensorflow
|
| 520 |
-
# transformers
|
| 521 |
-
pandas==2.3.3
|
| 522 |
-
# via
|
| 523 |
-
# datasets
|
| 524 |
-
# gradio
|
| 525 |
-
# seaborn
|
| 526 |
-
# torch-tb-profiler
|
| 527 |
-
pandocfilters==1.5.1
|
| 528 |
-
# via nbconvert
|
| 529 |
-
parso==0.8.5
|
| 530 |
-
# via jedi
|
| 531 |
-
peft==0.17.1
|
| 532 |
-
# via
|
| 533 |
-
# ads-gen (pyproject.toml)
|
| 534 |
-
# dreamsim
|
| 535 |
-
pexpect==4.9.0
|
| 536 |
-
# via ipython
|
| 537 |
-
pillow==9.5.0
|
| 538 |
-
# via
|
| 539 |
-
# ads-gen (pyproject.toml)
|
| 540 |
-
# diffusers
|
| 541 |
-
# dreamsim
|
| 542 |
-
# gradio
|
| 543 |
-
# imageio
|
| 544 |
-
# matplotlib
|
| 545 |
-
# pytorch-fid
|
| 546 |
-
# scikit-image
|
| 547 |
-
# tensorboard
|
| 548 |
-
# torchvision
|
| 549 |
-
platformdirs==4.5.0
|
| 550 |
-
# via jupyter-core
|
| 551 |
-
prdc==0.2
|
| 552 |
-
# via ads-gen (pyproject.toml)
|
| 553 |
-
prometheus-client==0.23.1
|
| 554 |
-
# via jupyter-server
|
| 555 |
-
promise==2.3
|
| 556 |
-
# via tensorflow-datasets
|
| 557 |
-
prompt-toolkit==3.0.52
|
| 558 |
-
# via
|
| 559 |
-
# ipython
|
| 560 |
-
# jupyter-console
|
| 561 |
-
propcache==0.4.1
|
| 562 |
-
# via
|
| 563 |
-
# aiohttp
|
| 564 |
-
# yarl
|
| 565 |
-
proto-plus
|
| 566 |
-
# via google-api-core
|
| 567 |
-
protobuf
|
| 568 |
-
# via
|
| 569 |
-
# ads-gen (pyproject.toml)
|
| 570 |
-
# google-api-core
|
| 571 |
-
# googleapis-common-protos
|
| 572 |
-
# proto-plus
|
| 573 |
-
# tensorboard
|
| 574 |
-
# tensorflow
|
| 575 |
-
# tensorflow-datasets
|
| 576 |
-
# tensorflow-metadata
|
| 577 |
-
psutil==7.1.0
|
| 578 |
-
# via
|
| 579 |
-
# accelerate
|
| 580 |
-
# ipykernel
|
| 581 |
-
# nvitop
|
| 582 |
-
# peft
|
| 583 |
-
# tensorflow-datasets
|
| 584 |
-
ptyprocess==0.7.0
|
| 585 |
-
# via
|
| 586 |
-
# pexpect
|
| 587 |
-
# terminado
|
| 588 |
-
pure-eval==0.2.3
|
| 589 |
-
# via stack-data
|
| 590 |
-
pyarrow==21.0.0
|
| 591 |
-
# via
|
| 592 |
-
# datasets
|
| 593 |
-
# tensorflow-datasets
|
| 594 |
-
pyasn1==0.6.1
|
| 595 |
-
# via
|
| 596 |
-
# pyasn1-modules
|
| 597 |
-
# rsa
|
| 598 |
-
pyasn1-modules==0.4.2
|
| 599 |
-
# via google-auth
|
| 600 |
-
pycparser==2.23
|
| 601 |
-
# via cffi
|
| 602 |
-
pydantic==2.11.10
|
| 603 |
-
# via
|
| 604 |
-
# fastapi
|
| 605 |
-
# gradio
|
| 606 |
-
pydantic-core==2.33.2
|
| 607 |
-
# via pydantic
|
| 608 |
-
pydub==0.25.1
|
| 609 |
-
# via gradio
|
| 610 |
-
pygments==2.19.2
|
| 611 |
-
# via
|
| 612 |
-
# ipython
|
| 613 |
-
# ipython-pygments-lexers
|
| 614 |
-
# jupyter-console
|
| 615 |
-
# nbconvert
|
| 616 |
-
# rich
|
| 617 |
-
pyparsing==3.2.5
|
| 618 |
-
# via matplotlib
|
| 619 |
-
pysocks==1.7.1
|
| 620 |
-
# via requests
|
| 621 |
-
python-dateutil==2.9.0.post0
|
| 622 |
-
# via
|
| 623 |
-
# arrow
|
| 624 |
-
# jupyter-client
|
| 625 |
-
# matplotlib
|
| 626 |
-
# pandas
|
| 627 |
-
python-json-logger==2.0.7
|
| 628 |
-
# via
|
| 629 |
-
# ads-gen (pyproject.toml)
|
| 630 |
-
# jupyter-events
|
| 631 |
-
python-multipart==0.0.20
|
| 632 |
-
# via gradio
|
| 633 |
-
pytorch-fid==0.3.0
|
| 634 |
-
# via ads-gen (pyproject.toml)
|
| 635 |
-
pytz==2025.2
|
| 636 |
-
# via pandas
|
| 637 |
-
pyyaml==6.0.3
|
| 638 |
-
# via
|
| 639 |
-
# ads-gen (pyproject.toml)
|
| 640 |
-
# accelerate
|
| 641 |
-
# datasets
|
| 642 |
-
# gradio
|
| 643 |
-
# huggingface-hub
|
| 644 |
-
# jupyter-events
|
| 645 |
-
# omegaconf
|
| 646 |
-
# peft
|
| 647 |
-
# timm
|
| 648 |
-
# transformers
|
| 649 |
-
pyzmq==27.1.0
|
| 650 |
-
# via
|
| 651 |
-
# ipykernel
|
| 652 |
-
# jupyter-client
|
| 653 |
-
# jupyter-console
|
| 654 |
-
# jupyter-server
|
| 655 |
-
referencing==0.36.2
|
| 656 |
-
# via
|
| 657 |
-
# jsonschema
|
| 658 |
-
# jsonschema-specifications
|
| 659 |
-
# jupyter-events
|
| 660 |
-
regex==2025.9.18
|
| 661 |
-
# via
|
| 662 |
-
# diffusers
|
| 663 |
-
# open-clip-torch
|
| 664 |
-
# transformers
|
| 665 |
-
requests==2.32.5
|
| 666 |
-
# via
|
| 667 |
-
# datasets
|
| 668 |
-
# diffusers
|
| 669 |
-
# fsspec
|
| 670 |
-
# gcsfs
|
| 671 |
-
# gdown
|
| 672 |
-
# google-api-core
|
| 673 |
-
# google-cloud-storage
|
| 674 |
-
# huggingface-hub
|
| 675 |
-
# jupyterlab-server
|
| 676 |
-
# requests-oauthlib
|
| 677 |
-
# tensorflow
|
| 678 |
-
# tensorflow-datasets
|
| 679 |
-
# transformers
|
| 680 |
-
requests-oauthlib==2.0.0
|
| 681 |
-
# via google-auth-oauthlib
|
| 682 |
-
rfc3339-validator==0.1.4
|
| 683 |
-
# via
|
| 684 |
-
# jsonschema
|
| 685 |
-
# jupyter-events
|
| 686 |
-
rfc3986-validator==0.1.1
|
| 687 |
-
# via
|
| 688 |
-
# jsonschema
|
| 689 |
-
# jupyter-events
|
| 690 |
-
rfc3987-syntax==1.1.0
|
| 691 |
-
# via jsonschema
|
| 692 |
-
rich==13.9.4
|
| 693 |
-
# via
|
| 694 |
-
# ads-gen (pyproject.toml)
|
| 695 |
-
# keras
|
| 696 |
-
# typer
|
| 697 |
-
rpds-py==0.27.1
|
| 698 |
-
# via
|
| 699 |
-
# jsonschema
|
| 700 |
-
# referencing
|
| 701 |
-
rsa==4.9.1
|
| 702 |
-
# via google-auth
|
| 703 |
-
ruff==0.14.0
|
| 704 |
-
# via gradio
|
| 705 |
-
safehttpx==0.1.6
|
| 706 |
-
# via gradio
|
| 707 |
-
safetensors==0.6.2
|
| 708 |
-
# via
|
| 709 |
-
# accelerate
|
| 710 |
-
# diffusers
|
| 711 |
-
# open-clip-torch
|
| 712 |
-
# peft
|
| 713 |
-
# timm
|
| 714 |
-
# transformers
|
| 715 |
-
scikit-image==0.24.0
|
| 716 |
-
# via ads-gen (pyproject.toml)
|
| 717 |
-
scikit-learn==1.7.2
|
| 718 |
-
# via prdc
|
| 719 |
-
scipy
|
| 720 |
-
# via
|
| 721 |
-
# ads-gen (pyproject.toml)
|
| 722 |
-
# dreamsim
|
| 723 |
-
# prdc
|
| 724 |
-
# pytorch-fid
|
| 725 |
-
# scikit-image
|
| 726 |
-
# scikit-learn
|
| 727 |
-
seaborn==0.12.2
|
| 728 |
-
# via ads-gen (pyproject.toml)
|
| 729 |
-
segment-anything @ git+https://github.com/facebookresearch/segment-anything.git@dca509fe793f601edb92606367a655c15ac00fdf
|
| 730 |
-
# via ads-gen (pyproject.toml)
|
| 731 |
-
semantic-version==2.10.0
|
| 732 |
-
# via gradio
|
| 733 |
-
send2trash==1.8.3
|
| 734 |
-
# via jupyter-server
|
| 735 |
-
sentencepiece==0.2.1
|
| 736 |
-
# via ads-gen (pyproject.toml)
|
| 737 |
-
setuptools==68.2.2
|
| 738 |
-
# via
|
| 739 |
-
# ads-gen (pyproject.toml)
|
| 740 |
-
# jupyterlab
|
| 741 |
-
# tensorboard
|
| 742 |
-
# tensorflow
|
| 743 |
-
# torch
|
| 744 |
-
# triton
|
| 745 |
-
shellingham==1.5.4
|
| 746 |
-
# via typer
|
| 747 |
-
simple-parsing==0.1.7
|
| 748 |
-
# via tensorflow-datasets
|
| 749 |
-
six==1.17.0
|
| 750 |
-
# via
|
| 751 |
-
# astunparse
|
| 752 |
-
# gdown
|
| 753 |
-
# google-pasta
|
| 754 |
-
# promise
|
| 755 |
-
# python-dateutil
|
| 756 |
-
# rfc3339-validator
|
| 757 |
-
# tensorflow
|
| 758 |
-
sniffio==1.3.1
|
| 759 |
-
# via anyio
|
| 760 |
-
soupsieve==2.8
|
| 761 |
-
# via beautifulsoup4
|
| 762 |
-
stack-data==0.6.3
|
| 763 |
-
# via ipython
|
| 764 |
-
starlette==0.48.0
|
| 765 |
-
# via
|
| 766 |
-
# fastapi
|
| 767 |
-
# gradio
|
| 768 |
-
sympy==1.14.0
|
| 769 |
-
# via torch
|
| 770 |
-
tensorboard
|
| 771 |
-
# via
|
| 772 |
-
# ads-gen (pyproject.toml)
|
| 773 |
-
# tensorflow
|
| 774 |
-
# torch-tb-profiler
|
| 775 |
-
tensorboard-data-server==0.7.2
|
| 776 |
-
# via tensorboard
|
| 777 |
-
tensorflow
|
| 778 |
-
# via ads-gen (pyproject.toml)
|
| 779 |
-
tensorflow-datasets
|
| 780 |
-
# via ads-gen (pyproject.toml)
|
| 781 |
-
tensorflow-metadata
|
| 782 |
-
# via tensorflow-datasets
|
| 783 |
-
termcolor==3.1.0
|
| 784 |
-
# via
|
| 785 |
-
# tensorflow
|
| 786 |
-
# tensorflow-datasets
|
| 787 |
-
terminado==0.18.1
|
| 788 |
-
# via
|
| 789 |
-
# jupyter-server
|
| 790 |
-
# jupyter-server-terminals
|
| 791 |
-
threadpoolctl==3.6.0
|
| 792 |
-
# via scikit-learn
|
| 793 |
-
tifffile
|
| 794 |
-
# via scikit-image
|
| 795 |
-
timm==0.9.16
|
| 796 |
-
# via
|
| 797 |
-
# ads-gen (pyproject.toml)
|
| 798 |
-
# dreamsim
|
| 799 |
-
# open-clip-torch
|
| 800 |
-
tinycss2==1.4.0
|
| 801 |
-
# via bleach
|
| 802 |
-
tokenizers==0.22.1
|
| 803 |
-
# via transformers
|
| 804 |
-
toml==0.10.2
|
| 805 |
-
# via tensorflow-datasets
|
| 806 |
-
tomlkit==0.13.3
|
| 807 |
-
# via gradio
|
| 808 |
torch==2.7.0
|
| 809 |
-
|
| 810 |
-
|
| 811 |
-
|
| 812 |
-
|
| 813 |
-
|
| 814 |
-
|
| 815 |
-
|
| 816 |
-
|
| 817 |
-
|
| 818 |
-
|
| 819 |
-
|
| 820 |
-
|
| 821 |
-
# via ads-gen (pyproject.toml)
|
| 822 |
-
torchvision==0.22.0
|
| 823 |
-
# via
|
| 824 |
-
# ads-gen (pyproject.toml)
|
| 825 |
-
# dreamsim
|
| 826 |
-
# open-clip-torch
|
| 827 |
-
# pytorch-fid
|
| 828 |
-
# timm
|
| 829 |
-
tornado==6.5.2
|
| 830 |
-
# via
|
| 831 |
-
# ipykernel
|
| 832 |
-
# jupyter-client
|
| 833 |
-
# jupyter-server
|
| 834 |
-
# jupyterlab
|
| 835 |
-
# notebook
|
| 836 |
-
# terminado
|
| 837 |
-
tqdm==4.67.1
|
| 838 |
-
# via
|
| 839 |
-
# datasets
|
| 840 |
-
# etils
|
| 841 |
-
# gdown
|
| 842 |
-
# huggingface-hub
|
| 843 |
-
# open-clip-torch
|
| 844 |
-
# peft
|
| 845 |
-
# tensorflow-datasets
|
| 846 |
-
# transformers
|
| 847 |
-
traitlets==5.14.3
|
| 848 |
-
# via
|
| 849 |
-
# ipykernel
|
| 850 |
-
# ipython
|
| 851 |
-
# ipywidgets
|
| 852 |
-
# jupyter-client
|
| 853 |
-
# jupyter-console
|
| 854 |
-
# jupyter-core
|
| 855 |
-
# jupyter-events
|
| 856 |
-
# jupyter-server
|
| 857 |
-
# jupyterlab
|
| 858 |
-
# matplotlib-inline
|
| 859 |
-
# nbclient
|
| 860 |
-
# nbconvert
|
| 861 |
-
# nbformat
|
| 862 |
-
transformers==4.57.0
|
| 863 |
-
# via
|
| 864 |
-
# ads-gen (pyproject.toml)
|
| 865 |
-
# dreamsim
|
| 866 |
-
# peft
|
| 867 |
-
triton==3.3.0
|
| 868 |
-
# via
|
| 869 |
-
# ads-gen (pyproject.toml)
|
| 870 |
-
# torch
|
| 871 |
-
typer==0.19.2
|
| 872 |
-
# via gradio
|
| 873 |
-
types-python-dateutil==2.9.0.20251008
|
| 874 |
-
# via arrow
|
| 875 |
-
typing-extensions==4.15.0
|
| 876 |
-
# via
|
| 877 |
-
# aiosignal
|
| 878 |
-
# anyio
|
| 879 |
-
# beautifulsoup4
|
| 880 |
-
# etils
|
| 881 |
-
# fastapi
|
| 882 |
-
# gradio
|
| 883 |
-
# gradio-client
|
| 884 |
-
# grpcio
|
| 885 |
-
# huggingface-hub
|
| 886 |
-
# optree
|
| 887 |
-
# pydantic
|
| 888 |
-
# pydantic-core
|
| 889 |
-
# referencing
|
| 890 |
-
# simple-parsing
|
| 891 |
-
# starlette
|
| 892 |
-
# tensorflow
|
| 893 |
-
# torch
|
| 894 |
-
# typer
|
| 895 |
-
# typing-inspection
|
| 896 |
-
typing-inspection==0.4.2
|
| 897 |
-
# via pydantic
|
| 898 |
-
tzdata==2025.2
|
| 899 |
-
# via pandas
|
| 900 |
-
uri-template==1.3.0
|
| 901 |
-
# via jsonschema
|
| 902 |
-
urllib3==2.5.0
|
| 903 |
-
# via requests
|
| 904 |
-
uvicorn==0.37.0
|
| 905 |
-
# via gradio
|
| 906 |
-
wcwidth==0.2.14
|
| 907 |
-
# via
|
| 908 |
-
# ftfy
|
| 909 |
-
# prompt-toolkit
|
| 910 |
-
webcolors==24.11.1
|
| 911 |
-
# via jsonschema
|
| 912 |
-
webencodings==0.5.1
|
| 913 |
-
# via
|
| 914 |
-
# bleach
|
| 915 |
-
# tinycss2
|
| 916 |
-
websocket-client==1.9.0
|
| 917 |
-
# via jupyter-server
|
| 918 |
-
websockets==15.0.1
|
| 919 |
-
# via gradio-client
|
| 920 |
-
werkzeug==3.1.3
|
| 921 |
-
# via tensorboard
|
| 922 |
-
wheel==0.45.1
|
| 923 |
-
# via astunparse
|
| 924 |
-
widgetsnbextension==4.0.14
|
| 925 |
-
# via ipywidgets
|
| 926 |
-
wrapt==1.17.3
|
| 927 |
-
# via
|
| 928 |
-
# dm-tree
|
| 929 |
-
# tensorflow
|
| 930 |
-
# tensorflow-datasets
|
| 931 |
-
xxhash==3.6.0
|
| 932 |
-
# via datasets
|
| 933 |
-
yarl==1.22.0
|
| 934 |
-
# via aiohttp
|
| 935 |
-
zipp==3.23.0
|
| 936 |
-
# via
|
| 937 |
-
# etils
|
| 938 |
-
# importlib-metadata
|
| 939 |
-
transformers==4.57.0
|
| 940 |
-
# via
|
| 941 |
-
# ads-gen (pyproject.toml)
|
| 942 |
-
# dreamsim
|
| 943 |
-
# peft
|
|
|
|
| 1 |
+
huggingface-hub==0.36.0
|
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| 2 |
torch==2.7.0
|
| 3 |
+
torchaudio==2.7.0
|
| 4 |
+
torchvision--0.22.0
|
| 5 |
+
transformers
|
| 6 |
+
diffusers==0.31.0
|
| 7 |
+
peft==0.15.2
|
| 8 |
+
opencv-python
|
| 9 |
+
protobuf
|
| 10 |
+
sentencepiece
|
| 11 |
+
gradio
|
| 12 |
+
jupyter
|
| 13 |
+
torchao
|
| 14 |
+
space
|
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