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eyebrows_9B.safetensors
40 MB · SafeTensor
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<face-control-eyebrow-flux2>
Über dieses Modell
FLUX 2 / KLEIN · LoRAs
Erstellt von
NO8D
auf Civitai
by NO8D - Slider-LORA : Face control - eyebrow
Notizen des Erstellers
❤️ Please give me some motivation This is a collection of face-controlled slider-LORAs, focusing on helping you create unique virtual characters; Whether this collection can be continuously updated will depend on everyone's feedback. If you like it, please like, follow and share to let me know your appreciation; if you don't like it, I will discontinue it. If you want to support independent development, please consider buying me a cup of coffee to keep this motivation going! 🤖About LORA : - The weight is usually between ±6, the effects of positive weights and negative weights are in the example - hair length head face shape nose ear lips eyes eyebrows eyelashes chin 👾Support me please: - I've invested a great deal of time and money in repeatedly training, testing, and optimizing these models, aiming to make them worthy of every ❤. - All publicly released models are experimental versions, intended solely for learning and communication purposes. If you discover any obvious advantages or disadvantages, please post the images and leave a comment to inform me. - - 🔓Get early access to various latest experimental models - 🔓 The unreleased full version of the model and dedicated workflows - 🔓 Detailed usage tips and guides, as well as professional consulting support 🫡 May the AI-power be with you🫡 see you soon !
280 Downloads · 20 Likes auf Civitai
SHA256
6463C30AA78951CE74620B4496D1CCECDF05778AA0A00FAA448DBAA25A12FCC5
ModelTrends.ai-Modell-ID
#25687
Inhalt melden
KI-Modelle für Bild-, Video- und Texterzeugung
face control eyebrow flux2 ist ein LoRA für die Familie Flux 2 / Klein und wird auf ModelTrends.ai gelistet, einem reinen Lesekatalog für Open-Source-KI-Modelle für Bild, Video und Text. Vergleiche es mit anderen Flux 2 / Klein-Modellen, prüfe den Hitzewert, um den Trend zu sehen, und öffne es auf PirateDiffusion oder BitVector, um es auszuprobieren.
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