Image-to-Image
Safetensors
SeedVR
MLX
PyTorch
super-resolution
image-upscaling
image-restoration
diffusion
one-step-diffusion
knowledge-distillation
seedvr2
apple-silicon
Instructions to use lvladikov/SeedVR2-1.4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SeedVR
How to use lvladikov/SeedVR2-1.4B with SeedVR:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use lvladikov/SeedVR2-1.4B with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir SeedVR2-1.4B lvladikov/SeedVR2-1.4B
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
pr 1: fix finding the VAE
#3
by dummy9996 - opened
comfyui/ComfyUI-SeedVR2-1.4B-TinyVAE/__init__.py
CHANGED
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@@ -51,6 +51,7 @@ Environment
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import logging
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import os
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log = logging.getLogger(__name__)
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@@ -81,24 +82,38 @@ COMFY_PRE_SCALES = True # ComfyUI already applied it before decode_ (veri
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_WEIGHT_NAME = "ema_vae_distill_fp16.safetensors"
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def _find_weights():
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if os.environ.get("SEEDVR2_TINYVAE_PATH"):
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return os.environ["SEEDVR2_TINYVAE_PATH"]
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here = os.path.dirname(os.path.abspath(__file__))
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cands = [
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os.path.join(here, _WEIGHT_NAME),
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os.path.join(
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os.path.join(
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]
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except Exception:
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pass
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for c in cands:
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if os.path.exists(c):
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return os.path.abspath(c)
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return None
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import logging
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import os
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import sys
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log = logging.getLogger(__name__)
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_WEIGHT_NAME = "ema_vae_distill_fp16.safetensors"
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try:
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import folder_paths
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except ImportError:
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comfy_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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sys.path.insert(0, comfy_path)
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try:
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import folder_paths
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except ImportError:
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folder_paths = None
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log.warning("Could not import folder_paths, falling back to local path resolution")
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def _find_weights():
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if os.environ.get("SEEDVR2_TINYVAE_PATH"):
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return os.environ["SEEDVR2_TINYVAE_PATH"]
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here = os.path.dirname(os.path.abspath(__file__))
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cands = [
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os.path.join(here, _WEIGHT_NAME),
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os.path.join(os.path.dirname(here), _WEIGHT_NAME),
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os.path.join(folder_paths.get_folder_paths("vae")[0], _WEIGHT_NAME) if folder_paths and folder_paths.get_folder_paths("vae") else None,
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*([os.path.join(p, _WEIGHT_NAME) for p in folder_paths.get_folder_paths("vae")] if folder_paths else []),
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os.path.join(here, "models", _WEIGHT_NAME),
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]
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cands = [c for c in cands if c]
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for c in cands:
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if os.path.exists(c):
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log.info(f"SeedVR2 TinyVAE: Found weights at {c}")
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return os.path.abspath(c)
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log.warning(f"SeedVR2 TinyVAE: Could not find {_WEIGHT_NAME} in any of the searched locations: {cands}")
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return None
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