Spaces:
Build error
Build error
Commit ·
d469545
1
Parent(s): e3b44bc
Grok Fix add @spaces
Browse files
app.py
CHANGED
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@@ -1,3 +1,4 @@
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import gradio as gr
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import numpy as np
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import torch
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@@ -5,14 +6,6 @@ from diffusers import FluxFillPipeline
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from PIL import Image
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import random
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# Set device (GPU if available, otherwise CPU)
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# Load the pipeline
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pipe = FluxFillPipeline.from_pretrained(
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"black-forest-labs/FLUX.1-Fill-dev", torch_dtype=torch.bfloat16
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).to(device)
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# Function to calculate optimal dimensions for the output image
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def calculate_optimal_dimensions(image: Image.Image):
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@@ -43,10 +36,16 @@ def calculate_optimal_dimensions(image: Image.Image):
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# Inpainting function
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def infer(image: Image.Image, prompt: str):
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if image is None:
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raise gr.Error("Please upload an image.")
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# Calculate optimal dimensions
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width, height = calculate_optimal_dimensions(image)
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@@ -56,7 +55,7 @@ def infer(image: Image.Image, prompt: str):
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# Set seed for reproducibility
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seed = random.randint(0, np.iinfo(np.int32).max)
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generator = torch.Generator(
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try:
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output = pipe(
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import spaces
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import gradio as gr
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import numpy as np
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import torch
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from PIL import Image
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import random
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# Function to calculate optimal dimensions for the output image
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def calculate_optimal_dimensions(image: Image.Image):
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# Inpainting function
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@spaces.GPU
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def infer(image: Image.Image, prompt: str):
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if image is None:
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raise gr.Error("Please upload an image.")
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# Load the pipeline inside the function on "cuda"
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pipe = FluxFillPipeline.from_pretrained(
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"black-forest-labs/FLUX.1-Fill-dev", torch_dtype=torch.bfloat16
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).to("cuda")
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# Calculate optimal dimensions
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width, height = calculate_optimal_dimensions(image)
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# Set seed for reproducibility
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seed = random.randint(0, np.iinfo(np.int32).max)
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generator = torch.Generator("cuda").manual_seed(seed)
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try:
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output = pipe(
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