FLUX-1-schnell-mcp

Running on Zero

App Files Files Community

hysts HF Staff commited on 20 days ago

Commit

5a3d18f

1 Parent(s): e02a8c2

gradio==5.33.0

Browse files

Files changed (5) hide show

README.md +1 -1
app.py +5 -7
pyproject.toml +1 -1
requirements.txt +1 -1
uv.lock +54 -63

README.md CHANGED Viewed

@@ -4,7 +4,7 @@ emoji: 🏎️💨
 colorFrom: yellow
 colorTo: pink
 sdk: gradio
-sdk_version: 5.32.0
 app_file: app.py
 pinned: false
 license: mit

 colorFrom: yellow
 colorTo: pink
 sdk: gradio
+sdk_version: 5.33.0
 app_file: app.py
 pinned: false
 license: mit

app.py CHANGED Viewed

@@ -17,16 +17,15 @@ MAX_IMAGE_SIZE = 2048
 def get_seed(randomize_seed: bool, seed: int) -> int:
     """Determine and return the random seed to use for model generation.
     Args:
         randomize_seed (bool): If True, a random seed (an integer in [0, MAX_SEED)) is generated using NumPy's default random number generator. If False, the provided seed argument is returned as-is.
         seed (int): The seed value to use if randomize_seed is False.
     Returns:
         int: The selected seed value. If randomize_seed is True, a randomly generated integer; otherwise, the value of the seed argument.
-    Notes:
-        - MAX_SEED is the maximum value for a 32-bit integer (np.iinfo(np.int32).max).
-        - This function is typically used to ensure reproducibility or to introduce randomness in model generation.
     """
     rng = np.random.default_rng()
     return int(rng.integers(0, MAX_SEED)) if randomize_seed else seed
@@ -43,9 +42,8 @@ def infer(
 ) -> PIL.Image.Image:
     """Generate an image from a text prompt using the FLUX.1 [schnell] model.
-    Note:
-        - Prompts must be in English. Other languages are not currently supported.
-        - Prompts are limited to a maximum of 77 tokens, due to the CLIP tokenizer constraint.
     Args:
         prompt: A text prompt in English used to guide the image generation. Limited to 77 tokens.

 def get_seed(randomize_seed: bool, seed: int) -> int:
     """Determine and return the random seed to use for model generation.
+    - MAX_SEED is the maximum value for a 32-bit integer (np.iinfo(np.int32).max).
+    - This function is typically used to ensure reproducibility or to introduce randomness in model generation.
     Args:
         randomize_seed (bool): If True, a random seed (an integer in [0, MAX_SEED)) is generated using NumPy's default random number generator. If False, the provided seed argument is returned as-is.
         seed (int): The seed value to use if randomize_seed is False.
     Returns:
         int: The selected seed value. If randomize_seed is True, a randomly generated integer; otherwise, the value of the seed argument.
     """
     rng = np.random.default_rng()
     return int(rng.integers(0, MAX_SEED)) if randomize_seed else seed
 ) -> PIL.Image.Image:
     """Generate an image from a text prompt using the FLUX.1 [schnell] model.
+    - Prompts must be in English. Other languages are not currently supported.
+    - Prompts are limited to a maximum of 77 tokens, due to the CLIP tokenizer constraint.
     Args:
         prompt: A text prompt in English used to guide the image generation. Limited to 77 tokens.

pyproject.toml CHANGED Viewed

@@ -7,7 +7,7 @@ requires-python = ">=3.10"
 dependencies = [
     "accelerate>=1.7.0",
     "diffusers>=0.33.1",
-    "gradio[mcp]>=5.32.0",
     "hf-transfer>=0.1.9",
     "sentencepiece>=0.2.0",
     "spaces>=0.36.0",

 dependencies = [
     "accelerate>=1.7.0",
     "diffusers>=0.33.1",
+    "gradio[mcp]>=5.33.0",
     "hf-transfer>=0.1.9",
     "sentencepiece>=0.2.0",
     "spaces>=0.36.0",

requirements.txt CHANGED Viewed

@@ -44,7 +44,7 @@ fsspec==2025.5.1
     #   gradio-client
     #   huggingface-hub
     #   torch
-gradio==5.32.0
     # via
     #   flux-1-schnell (pyproject.toml)
     #   spaces

     #   gradio-client
     #   huggingface-hub
     #   torch
+gradio==5.33.0
     # via
     #   flux-1-schnell (pyproject.toml)
     #   spaces

uv.lock CHANGED Viewed

@@ -237,11 +237,11 @@ wheels = [
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-version = "0.5.0"
 source = { registry = "https://pypi.org/simple" }
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 [[package]]
@@ -273,7 +273,7 @@ dependencies = [
 requires-dist = [
     { name = "accelerate", specifier = ">=1.7.0" },
     { name = "diffusers", specifier = ">=0.33.1" },
-    { name = "gradio", extras = ["mcp"], specifier = ">=5.32.0" },
     { name = "hf-transfer", specifier = ">=0.1.9" },
     { name = "sentencepiece", specifier = ">=0.2.0" },
     { name = "spaces", specifier = ">=0.36.0" },
@@ -293,7 +293,7 @@ wheels = [
 [[package]]
 name = "gradio"
-version = "5.32.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiofiles" },
@@ -326,9 +326,9 @@ dependencies = [
     { name = "urllib3", marker = "sys_platform == 'emscripten'" },
     { name = "uvicorn", marker = "sys_platform != 'emscripten'" },
 ]
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@@ -470,9 +470,9 @@ dependencies = [
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