Total runs:
1.6K
Run Growth:
1.3K
Growth Rate:
83.73%
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FlameF0X / NanoSR-6x
Model's Last Updated: May 07 2026
image-to-image
Introduction of NanoSR-6x
Model Details of NanoSR-6x
NanoSR-6x
I'm to lazy to make the model card and too lazy to put ai to make it.
Usage
import os
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from huggingface_hub import hf_hub_download
from tensorflow.keras import layers
# --- Configuration ---
HF_REPO_ID = "FlameF0X/NanoSR-6x"
MODEL_FILENAME = "NanoSR-6x_v1.h5"
UPSCALE_FACTOR = 6
def build_nanosr(upscale_factor, channels=3):
inputs = layers.Input(shape=(None, None, channels))
x = layers.Conv2D(64, 5, padding="same", activation="relu", kernel_initializer="he_normal")(inputs)
x = layers.Conv2D(64, 3, padding="same", activation="relu", kernel_initializer="he_normal")(x)
x = layers.Conv2D(32, 3, padding="same", activation="relu", kernel_initializer="he_normal")(x)
x = layers.Conv2D(channels * (upscale_factor ** 2), 3, padding="same", kernel_initializer="he_normal")(x)
outputs = layers.Lambda(lambda t: tf.nn.depth_to_space(t, upscale_factor), name="pixel_shuffle")(x)
return tf.keras.Model(inputs, outputs, name="NanoSR-6x")
def run_inference(image_path, output_path="upscaled_result.png"):
print(f"Downloading weights from {HF_REPO_ID}...")
checkpoint_path = hf_hub_download(repo_id=HF_REPO_ID, filename=MODEL_FILENAME)
# 2. Build and Load Model
model = build_nanosr(upscale_factor=UPSCALE_FACTOR)
model.load_weights(checkpoint_path)
print("Model loaded successfully.")
# 3. Load and Preprocess Image
img = Image.open(image_path).convert("RGB")
low_res = np.array(img).astype(np.float32) / 255.0
input_tensor = tf.expand_dims(low_res, 0)
# 4. Predict
print("Upscaling...")
prediction = model.predict(input_tensor)[0]
prediction = tf.clip_by_value(prediction, 0.0, 1.0)
# 5. Save and Show
final_img = tf.keras.preprocessing.image.array_to_img(prediction)
final_img.save(output_path)
plt.figure(figsize=(12, 6))
plt.subplot(1, 2, 1)
plt.title("Original (Low Res)")
plt.imshow(low_res)
plt.axis("off")
plt.subplot(1, 2, 2)
plt.title(f"NanoSR {UPSCALE_FACTOR}x")
plt.imshow(prediction)
plt.axis("off")
plt.show()
print(f"Result saved to {output_path}")
if __name__ == "__main__":
run_inference("your_test_image.png")
pass
Runs of FlameF0X NanoSR-6x on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About NanoSR-6x huggingface.co Model
Url of NanoSR-6x
NanoSR-6x huggingface.co Url
Provider of NanoSR-6x huggingface.co
Other API from FlameF0X
Updated:July 05 2026
Total runs:
1.0K
Run Growth:
138
Growth Rate:
13.50%
Total runs:
928
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928
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100.00%
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620
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0
Growth Rate:
0.00%
Total runs:
446
Run Growth:
-658
Growth Rate:
-147.53%
Total runs:
386
Run Growth:
97
Growth Rate:
25.13%
Total runs:
306
Run Growth:
306
Growth Rate:
100.00%
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278
Run Growth:
41
Growth Rate:
14.75%
Total runs:
228
Run Growth:
65
Growth Rate:
28.51%
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212
Run Growth:
212
Growth Rate:
100.00%
Total runs:
182
Run Growth:
88
Growth Rate:
48.35%
Total runs:
178
Run Growth:
0
Growth Rate:
0.00%
Total runs:
131
Run Growth:
0
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0.00%
Total runs:
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Run Growth:
-62
Growth Rate:
-71.26%
Total runs:
80
Run Growth:
44
Growth Rate:
55.00%
Total runs:
69
Run Growth:
49
Growth Rate:
72.06%
Total runs:
67
Run Growth:
49
Growth Rate:
73.13%
Total runs:
67
Run Growth:
-13
Growth Rate:
-19.70%
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50
Run Growth:
32
Growth Rate:
64.00%
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49
Run Growth:
10
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20.00%
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Run Growth:
32
Growth Rate:
66.67%
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27
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3
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11.11%
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16
Growth Rate:
100.00%
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0.00%
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10
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100.00%
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7
Growth Rate:
100.00%
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1
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1
Growth Rate:
100.00%
Total runs:
1
Run Growth:
1
Growth Rate:
100.00%
Total runs:
1
Run Growth:
-30
Growth Rate:
-3000.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
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