Ir para o conteúdo
ModelListadosExterno
Baixar

Moebius Ft Celebahq Mlx Q8

This folder contains a converted MLX version of the ftcelebahq Moebius checkpoint in q8 form. ftcelebahq means the Moebius checkpoint fine-tuned on CelebA-HQ, for face and portrait inpainting.

Fontehuggingface.co/iky1e/moebius-ft-celebahq-mlx-q8/tree/a0c0245b5d08e09def9b87b376da45cf9267b78c
TipoUNetModelo basehustvl/MoebiusVersãounet_quantizedBnota

Fonte do modelo

Tipo
UNet
Tamanho do arquivo
413 MB
Modelo base
hustvl/Moebius
Versão
vunet_quantized
Atualizado
9 de out. de 2026
Downloads
0
Fonte
Hugging Face

Descrição da fonte

Moebius ft_celebahq MLX q8

This folder contains a converted MLX version of the ft_celebahq Moebius checkpoint in q8 form. ft_celebahq means the Moebius checkpoint fine-tuned on CelebA-HQ, for face and portrait inpainting.

Original upstream model: hustvl/Moebius
Original source repository: hustvl/Moebius

Moebius checkpoint fine-tuned on CelebA-HQ. This variant is intended for face and portrait inpainting distributions.

Identity

FieldValue
Variant nameft_celebahq-q8
Checkpoint meaningFine-tuned on CelebA-HQ for face and portrait inpainting.
Original Moebius checkpoint familyft_celebahq
Original checkpoint typeCelebA-HQ fine-tune
Source PyTorch checkpointMoebius-Models/ft_celebahq/diffusion_pytorch_model.bin
MLX precision / quantization labelq8
Image size512 x 512
Latent size64 x 64
Latent channels4
Mask channels1
Conditioning IDs20
VAE scaling factor0.13025
Noise offset0.0357

Quantization

8-bit MLX quantized export. The manifest selects unet_quantized.safetensors for the UNet; VAE encoder and decoder remain regular f16 safetensors unless a quantized VAE file is explicitly listed. Quantization uses MLX grouped quantization metadata and the runtime applies the matching quantized module layout.

  • UNet precision mode: q8.
  • MLX grouped quantization is used for supported linear layers; grouped quantized weights are loaded through the Moebius-MLX manifest/runtime.
  • Quantization config: 8 bits, group size 64, standard MLX quantized mode.
  • The VAE encoder and decoder remain regular f16 safetensors for this variant.

Manifest-selected deployment files

These are the files selected by manifest.json when the Moebius-MLX runtime loads this variant.

ComponentFileSize
UNetunet_quantized.safetensors432.89 MB
VAE encodervae_encoder.safetensors68.34 MB
VAE decodervae_decoder.safetensors99.00 MB

Files in this folder

  • unet.safetensors
  • unet_quantized.safetensors (selected by manifest)
  • vae_decoder.safetensors (selected by manifest)
  • vae_encoder.safetensors (selected by manifest)
  • manifest.json (runtime metadata and file selection)

A minimal runtime package needs manifest.json and the manifest-selected files above. Extra source or fallback files are optional and are not required for inference.

Runtime expectations

This is not a Transformers or Diffusers-native checkpoint. It is intended for the Swift/MLX runtime in Moebius-MLX. The runtime reads manifest.json, loads the selected safetensors files, builds the Moebius UNet and VAE modules, and runs the DDIM inpainting pipeline.

Pipeline constants must match the manifest:

  • DDIM scheduler: scaled_linear, beta start 0.00085, beta end 0.012, 1000 train timesteps, clip sample false
  • 512 x 512 image resolution and 64 x 64 latent resolution
  • 9-channel UNet input: noisy latent, mask, and masked-image latent
  • VAE scaling factor 0.13025

Attribution

Moebius was released by the original authors as hustvl/Moebius. This folder is a format conversion and/or quantized MLX packaging of the original PyTorch weights, not a newly trained model.

Requisitos

Modelos

2

Fontes

1 fonte
Hugging FacePrimárioVersão a0c0245b5d08e09def9b87b376da45cf9267b78c
huggingface.co/iky1e/moebius-ft-celebahq-mlx-q8/tree/a0c0245b5d08e09def9b87b376da45cf9267b78c

Verificado 9 de out.

Artefatos de modelo

1 artefato

unet_quantized.safetensors

safetensors · 413 MB · SHA-256 1b1196179da7…d910 · Hugging Face

Download file

Trechos de fonte

2 trechos
Readme31 de jul.huggingface.co/iky1e/moebius-ft-celebahq-mlx-q8

--- license: apache-2.0 library_name: mlx pipeline_tag: image-to-image base_model: hustvl/Moebius tags: - mlx - image-inpainting - inpainting - diffusion - moebius - ft_celebahq - q8 --- # Moebius ft_celebahq MLX q8 This folder contains a converted MLX version of the **ft_celebahq** Moebius checkpoint in **q8** form. `ft_celebahq` means the Moebius checkpoint fine-tuned on CelebA-HQ, for face and portrait inpainting. Original upstream model: [hustvl/Moebius](https://huggingface.co/hustvl/Moebius) Original source repository: [hustvl/Moebius](https://github.com/hustvl/Moebius) Moebius checkpoint fine-tuned on CelebA-HQ. This variant is intended for face and portrait inpainting distributions. ## Identity | Field | Value | |---|---| | Variant name | `ft_celebahq-q8` | | Checkpoint meaning | Fine-tuned on CelebA-HQ for face and portrait inpainting. | | Original Moebius checkpoint family | `ft_celebahq` | | Original checkpoint type | CelebA-HQ fine-tune | | Source PyTorch checkpoint | `Moebius-Models/ft_celebahq/diffusion_pytorch_model.bin` | | MLX precision / quantization label | `q8` | | Image size | 512 x 512 | | Latent size | 64 x 64 | | Latent channels | 4 | | Mask channels | 1 | | Conditioning IDs | 20 | | VAE scaling factor | 0.13025 | | Noise offset | 0.0357 | ## Quantization 8-bit MLX quantized export. The manifest selects `unet_quantized.safetensors` for the UNet; VAE encoder and decoder remain regular f16 safetensors unless a quantized VAE file is explicitly listed. Quantization uses MLX grouped quantization metadata and the runtime applies the matching quantized module layout. - UNet precision mode: `q8`. - MLX grouped quantization is used for supported linear layers; grouped quantized weights are loaded through the Moebius-MLX manifest/runtime. - Quantization config: 8 bits, group size 64, standard MLX quantized mode. - The VAE encoder and decoder remain regular f16 safetensors for this variant. ## Manifest-selected deployment files These are the files selected by `manifest.json` when the Moebius-MLX runtime loads this variant. | Component | File | Size | |---|---|---:| | UNet | `unet_quantized.safetensors` | 432.89 MB | | VAE encoder | `vae_encoder.safetensors` | 68.34 MB | | VAE decoder | `vae_decoder.safetensors` | 99.00 MB | ## Files in this folder - `unet.safetensors` - `unet_quantized.safetensors` (selected by manifest) -...

Note31 de jul.huggingface.co/iky1e/moebius-ft-celebahq-mlx-q8

Source context: 0 downloads · 0 likes · Pipeline image-to-image · Library mlx · Repo iky1e/moebius-ft-celebahq-mlx-q8