Dettagli
Raccomandazioni
v1.0 Dedistilled
v0 BFloat16 Schnell
v0 BFloat16 Dev
v0 Q8_0 Schnell GGUF
v0 Q8_0 Dev GGUF
v0 Q6_K Schnell GGUF
v0 Q6_K Dev GGUF
v0 Q5_K Schnell GGUF
v0 Q5_K Dev GGUF
v0 Q4_K Schnell GGUF
v0 Q4_K Dev GGUF
Mangled Merge Flux

Mangled Merge Flux

111
4
437
#วัตถุประสงค์ทั่วไป
#Base Model
#base models
#FLUX

It is my pleasure to introduce Mangled Merge Flux to the Civitai community. Continuing the tradition started with Stable Diffusion 2.1, and then SDXL, this will be the new home for crazy merge experiments done with the Flux.1 model architecture.

V1

Mangled Merge V1 is a merge of Mangled Merge Flux Matrix, Mangled Merge Flux Magic, PixelWave 03, FluxBooru v0.3, and Flux-dev-de-distill, to create a model that offers the aesthetics of 808 merged loras, with the styles of PixelWave, the knowledge of the Booru dataset and the functionality of a dedistilled model. Loras work fine with this model, CFG is best between 1 and 3.5, Flux Guidance doesn't work, but negative prompts work great, and I HIGHLY recommend using dynamic thresholding.

For a comparison between Mangled Merge V1 and the Flux.1 Dev model, check out this post.

Disclaimer:
Civitai only lets me choose from limited pruning options when uploading and doesn't let me choose the same option twice, so in order to keep everything on 1 page, I had to choose from what they had available. But here are the real quants and sizes.


BF16 - 22.17 Gb
Q8_0 - 11.85 GB
Q6_K - 9.18 GB
Q5_K - 7.85 GB
Q4_K - 6.46 GB
v0:
This first version is more of a preliminary learning starting point. I plan on exploring and even creating new merge methods as I continue to experiment, however v0 is old school brute force merging and folding. I have tried working on a Della method, but so far, I am getting OOM errors due to the sheer size of the Flux model structure, even with 24g vram. I have some new angles I plan on trying this week however. More to come.

This was also a learning process for llama quantization and Schnell conversion. I have quantization down, but the Schnell conversion for v0 was just a simple merge of the Flux Dev to Schnell 4 step LoRA. I plan on exploring new techniques for the conversion process in the future as well.

For a list of loras included in this model please follow this Google Sheets Link.

Visualizza la traduzione

Valutazioni e recensioni

-- /5
0 valutazioni

Non ancora ricevute valutazioni o commenti sufficienti

no-data
Nessun dato disponibile
Conversazione con il modello
Annuncio
2024-09-23
Pubblicare modello
2024-11-16
Aggiorna le informazioni del modello
Dettagli modello
Tipo
Checkpoint
Data di pubblicazione
2024-11-02
Modello Base
Flux.1 D
Ambito di Licenza
Model Source: civitai

1. I diritti dei modelli ripubblicati appartengono ai creatori originali.

2. I creatori originali che desiderano reclamare il proprio modello devono contattare il personale di SeaArt AI tramite canali ufficiali. Clicca per rivendicare

Ambito di Licenza di Creazione
Immagini Online
Effettua una Fusione
Consenti Download
Licenza Commerciale
Le immagini generate possono essere vendute o utilizzate per scopi commerciali
Consenti la rivendita del modello o la vendita dopo la fusione
QR Code
Scarica l'app SeaArt
Continua il tuo viaggio di creazione AI su mobile