AUTOMATIC1111/stable-diffusion-webui · error · FileNotFoundError
RealESRGAN data missing: {scaler.local_data_path}
Error message
RealESRGAN data missing: {scaler.local_data_path} What it means
UpscalerRealESRGAN.load_model first downloads the scaler's data_path if it is a URL; then it requires scaler.local_data_path to exist on disk. If the file is still missing after download (failed download silently left no file, or a local path entry points nowhere), FileNotFoundError is raised.
Source
Thrown at modules/realesrgan_model.py:62
)
return upscale_with_model(
model_descriptor,
img,
tile_size=opts.ESRGAN_tile,
tile_overlap=opts.ESRGAN_tile_overlap,
# TODO: `outscale`?
)
def load_model(self, path):
for scaler in self.scalers:
if scaler.data_path == path:
if scaler.local_data_path.startswith("http"):
scaler.local_data_path = modelloader.load_file_from_url(
scaler.data_path,
model_dir=self.model_download_path,
)
if not os.path.exists(scaler.local_data_path):
raise FileNotFoundError(f"RealESRGAN data missing: {scaler.local_data_path}")
return scaler
raise ValueError(f"Unable to find model info: {path}")
def get_realesrgan_models(scaler: UpscalerRealESRGAN):
return [
UpscalerData(
name="R-ESRGAN General 4xV3",
path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth",
scale=4,
upscaler=scaler,
),
UpscalerData(
name="R-ESRGAN General WDN 4xV3",
path="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth",
scale=4,
upscaler=scaler,
),
View on GitHub (pinned to 82a973c043)
Solutions
- Manually place the RealESRGAN weights (e.g. realesr-general-x4v3.pth, RealESRGAN_x4plus.pth) into models/RealESRGAN with the expected filename.
- Check network access to github.com releases (or set HTTPS_PROXY) and retry so load_file_from_url completes.
- Verify the expected local_data_path in the error message and make sure that directory exists and is writable.
Example fix
# shell: place the weight file the scaler expects mkdir -p models/RealESRGAN curl -L -o models/RealESRGAN/RealESRGAN_x4plus.pth \ https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth
Defensive patterns
Strategy: validation
Validate before calling
import os
def realesrgan_ready(scaler):
if scaler.local_data_path.startswith('http'):
return True # will be downloaded; ensure network instead
return os.path.exists(scaler.local_data_path)
for s in upscaler.scalers:
if s.data_path == wanted and not realesrgan_ready(s):
raise SystemExit('RealESRGAN weights missing; download them into models/RealESRGAN') Try / catch
try:
scaler = upscaler.load_model(path)
except FileNotFoundError as e:
# weights failed to appear after download attempt; fetch manually then retry once
download_realesrgan_weights(expected_local_path)
scaler = upscaler.load_model(path) Prevention
- Pre-download RealESRGAN .pth files into models/RealESRGAN during environment setup.
- Verify network reachability to github.com releases in offline-ish deployments.
When it happens
Trigger: Selecting a RealESRGAN upscaler whose .pth weights: (a) failed to download from GitHub (offline, blocked, proxy), or (b) were configured with a local path that does not exist.
Common situations: First use of 'R-ESRGAN 4x+' on machines without GitHub access; partial download left zero-byte/deleted file; models/RealESRGAN directory moved or on an unmounted volume.
Related errors
- Model file {path} not found
- Unable to find model info: {path}
- DAT data missing: {scaler.local_data_path}
- Unable to find model info: {path}
- No GFPGAN model found
AI-assisted analysis of AUTOMATIC1111/stable-diffusion-webui@82a973c043 (2026-08-14).
Data as JSON: /api/errors/228d868c0354890c.
Report an issue: GitHub.