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Furry Enhancer Video

8516°
Furry Enhancer Video
Dibuat oleh
freek22
di Civitai
by freek22 - Furry Enhancer Video
Catatan pembuat
This Lora is made to enhance the ability / quality to create anthro and furry but it works also for all kind of other fantasy creatures and animals too the range that it can handle for example the Wan 2.2 V2 Lora is from comic and drawing towards real photos . i made the lora for Hunyuan Video , WAN 2.1 and 2.2 (SFW and NSFW) Furry Enhancer Hunyuan V1 The Hunyuan Video version is trained for Text to Video (T2V) but i also tested it on Image to Video its also working with it very good but not made for that. All example images for the Hunyuan Video are made T2V Its also compatible with Wan 2.1 I2v and T2V V1 The Wan 2.1 has 2 different models I2V and T2V the image to video is in most cases the model of choice for Wan for the Text to Video Variant please read the description. Its also compatible and will for sure increase the quality especially in the NSFW Area. I also tested the I2V Lora with Wan 2.2 it seems to enhance the result too but very experimental Wan 2.2 I2V and T2V V1 This enhancer version is for its splitted in basically 2 Loras: low and high noise both loras for I2V are trained on the same dataset. I its my own dataset before i trained with the wan 2.1 Lora but add more pictures and videos it's completely synthetic so no real persons or art is used for the dataset. whats the pros of this lora compared to the wan 2.1? - more consistent - more specimen better in sfw and nsfw i recommend using both loras and use the workflow in the training folder Note: your resolution needed to set between 0.4 (480P) and 0.92 (720p) overwise the lora generate backscreens or other failures. for strength i prefer the full 1.0 strength its tested its tested with the original wan 2.2 model also in a short test with my model (use only the high noise version with that model) for technical data about Wan 2.2 visit there official site V2 Furry Enhancer High Noise Changes compared to V1 - more consistent - more specimen - better overall movements - more stable overall - way better with comic and anime than V1 better in sfw and nsfw i recommend using the V1 Version of the Note: I used for example the old workflow for this model to compare V1 with V1 if you like the newest workflow download the training folder. Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p) V3 High Noise and Low Noise This enhancer version is for Wan 2.2 its trained my own dataset it's completely synthetic so no real persons or art is used for the dataset. the biggest change in this dataset is its now completely trained on videos Changes compared to V2 - trained now on over 650 Videos - better overall movements - more emotions - way better with comic and anime than V1 and V2 better in sfw and nsfw for this Version there is also an newtrained Low Noise Model LTX2.3 Version (WIP Preview V0.1) this is an preview version of the first attempt to train the ltx 2.3 model with a very limited dataset so it's more like an technical demonstration / trial than a fully trained lora. So don't expect best results yet it's highly experimental. for workflow i have also added an experimental workflow. LTX2.3 Version V1 Lora Pack This is the First full Release Version of the LTX Version of Furry Enhancer Video. Better to say it's an model pack because V1.1 is made based on ltx 2.0 training setup so best for the LTX 2.0 model V1.215 its the main model trained specifically for the ltx 2.3 Version so start usually with that lora V1.22 More advanced in training but has sound issues. V1.3 experimental (wip) model trained in different training modes (heavy sound issues) you find the used workflows and the different model versions in the "training folder" the loras are tested on the dev version and the distilled variant. what has changed to preview? - Trained on the full video database (V1.2 and up) at around 700 videos instead of only 40 videos - Also trained on my photo database of ratatoskr overall over 10k pictures - Trained for i2v and t2v - better overall knowledge and movement . Note: this is still in development because most of the trained videos are based on my wan2.2 database so its planned to train an v2 this year with video output of that model. also i don't have my own workflow done yet so it depends on other workflow don by afroman4peace and LTX2.3 Version V2.4 I have decided to retrain the dataset on a far advanced system now its trained on a server with an rtx6000 pro blackwell for more than a week 24/7 (and yes this was expensive) so what has changed from V1 to V2.4? - the trained video resolution is now at 720P constant - image training did improved from 1024p to 1536p - added 120 new sound videos for training especially for speech and jaw movements. - seperated videos with sound and not sound and trained in different databases - trained for T2V and I2V in stages so its nearly equally trained for both now - added new pictures to database too but more important overworked the captions fitting better for video training For settings and workflow i have added my example videos in the training folder the images and some videos has the metadata just put them into comfy on my workflows was the loral at best between 0.8 and 1.0 the lora is trained on the dev model but also tested for the distilled version for now still don't have my own workflow done yet so it depends on other workflow don by afroman4peace and please support my work with an like and look on my other loras and models too the newest workflow download the training folder. in all videos the metadata is also included just download the video and put it into Comfy Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p) if you like to support me please give a like and Check out my other models. Making such loras take a huge amount of cost and time please support my work with a like. and please check out my other models and loras too
2,099 unduhan · 145 suka di Civitai
SHA256
FC1E06352B7CC8689DAA539CA3064AF57D3265A4ADA995C055F4FE66CDBA3AB0
Tren popularitas Furry Enhancer Video
Skor panas sejak 16 Aug 2026
Skor panas
8,516°
Minggu ini
▲
2.7%
8,510° dulu, 8,516° sekarang
Bulan ini
▲
16.1%
8,483° dulu, 8,516° sekarang
Tahun lalu
n/a
Belum dirilis/dilacak
Furry Enhancer Video: Skor panas sejak 16 Aug 20267,000°7,424°7,849°8,273°8,698°17 Aug29 Aug12 Sep25 Sep9 Oct22 Oct8,516°ModelTrends.ai
7,000°
Floor
Skala berjalan dari 0° sampai 9.999°. Semua yang di bawah 7,000° disimpan untuk model yang belum dilaporkan oleh sumber mana pun, yang memakai angka pengganti di sana supaya daftar tetap lengkap. 7,000° adalah titik awal data yang diukur: model dengan data nyata tapi hampir tidak ada unduhan berada di floor, dan pengukuran mengisi derajat di atasnya. Floor tidak mengatakan apa-apa tentang model; hanya derajat di atasnya yang berbicara, dan itu yang membedakan satu model dengan yang lain.
+1,016°
Unduhan Civitai
2,099 unduhan versi tepat ini di Civitai. Unduhan adalah bahan terberat dan dihitung dalam skala log: sepuluh kali unduhan menambah 300° yang sama, jadi model dengan sejuta unduhan tidak seribu kali lebih panas dari yang seribu unduhan. Enam sumber unduhan berbagi satu istilah itu, dibagi proporsional sesuai jumlahnya.
+325°
Suka
145 suka dan jempol ke atas dari berbagai sumber. Suka dihitung setengah unduhan, dengan skala log yang sama.
+75°
Tingkat adopsi
Sekitar 9 unduhan per hari, diukur antara dua pembacaan sumber, tidak pernah ditebak dari rata-rata seumur hidup. Kecepatan dihitung seperempat dari istilah unduhan, jadi lonjakan baru terlihat tanpa membiarkan lonjakan satu hari mengalahkan penggunaan bertahun-tahun.
+100°
Bonus keluarga
+100° karena ini LoRA dari keluarga yang sedang didorong situs ini sekarang. Ini dorongan terbatas dalam skor dan tercantum di sini secara terbuka; tidak pernah bisa menyembunyikan model atau mengalahkan perbedaan unduhan seribu kali lipat.
Tampilkan rincian
Setiap angka di situs ini bisa dicek. Skor heat model ini adalah 8,516°, dan ini dibangun satu bahan pada satu waktu, dengan total berjalan setelah setiap langkah: floor, derajat yang ditambahkan setiap sumber, bonus untuk jenis model dan pengurangan karena usia bobotnya. Warna-warna itu adalah rentang pada grafik di atas. Glosarium di akhir menjelaskan setiap istilah.
  1. 1
    Mulai dari floor.
    Kenapa 7,000° dan bukan nol: skala dari 0° sampai 9.999°, dan bagian di bawah 7,000° disediakan untuk model yang belum dilaporkan sumber mana pun, yang memakai angka pengganti supaya daftar tetap lengkap dan tidak pernah mengalahkan model dengan data. 7,000° adalah titik awal data yang diukur. Model dengan data nyata tapi hampir tidak ada unduhan berada di sini; semua yang berikutnya adalah pengukuran, dan ruang di atas floor memuat sepuluh langkah sepuluh kali lipat unduhan dengan 300° masing-masing. Floor sama untuk semua model, jadi tidak menentukan apa-apa; yang menentukan adalah derajat di atasnya.
    7,000°
    total berjalan
  2. 2
    Tambahkan unduhan.
    2,099 setara unduhan secara total, dari Unduhan Civitai. Sepuluh kali unduhan menambah 300° yang sama, jadi ukuran penting tapi tidak pernah mendominasi skor.
    +1,016°
    8,016°
    total berjalan
  3. 3
    Tambahkan suka.
    145 suka dan jempol ke atas, dengan bobot setengah dari satu unduhan.
    +325°
    8,341°
    total berjalan
  4. 4
    Tambahkan tingkat adopsi.
    Sekitar 9 unduhan per hari sekarang, diukur antara dua pembacaan, dengan bobot seperempat.
    +75°
    8,416°
    total berjalan
  5. 5
    Dorongan keluarga.
    Dorongan terbuka dan terbatas untuk LoRA dari keluarga yang sedang didorong situs ini sekarang.
    +100°
    8,516°
    total berjalan
  6. =
    Skor heat.
    Posisi model ini di setiap daftar di situs ini. Tidak ada yang mengubahnya selain ini.
    8,516°
Glosarium: istilah yang dipakai di sini
Skor heat
Satu angka untuk seberapa banyak model dipakai dan diinginkan sekarang, dari 0° sampai 9.999°. Setiap daftar di situs ini yang bilang terpanas diurutkan berdasarkan ini dan tidak ada yang lain.
Lantai
7.000° yang jadi titik awal semua model dengan data nyata. Skala dari 0° sampai 9.999°; bagian di bawah lantai untuk pengganti (model tanpa data), supaya model dengan data selalu di atas yang tanpa. Lantai sama untuk semua dan tidak menentukan apa-apa; derajat di atasnya yang dihitung.
Setara unduhan
Semua yang dihitung skor sebagai unduhan, dijumlahkan: unduhan itu sendiri, setiap torrent seeder dihitung 1.000, setiap gambar AI Horde dan setiap run di situs generasi dihitung satu.
Skala log
Menghitung per puluhan, bukan per satuan: naik dari 1.000 ke 10.000 unduhan menambah derajat yang sama dengan naik dari 10.000 ke 100.000. Ini mencegah raksasa mendominasi semuanya.
Suka
Jempol ke atas dan suka dari semua sumber, bernilai setengah unduhan di skala log.
Tingkat adopsi
Berapa banyak unduhan per hari yang didapat model sekarang, dari selisih dua pembacaan sumber. Bobot seperempat dari istilah unduhan.
Diukur dan diperkirakan
Diukur berarti ada dua pembacaan dari sumber dan perbedaannya nyata. Diperkirakan berarti hanya total hari ini yang diketahui dan masa lalu dibagi selama umur model; situs memberitahu mana yang sedang ditampilkan.
Seeder
Seseorang yang menyimpan salinan bobot secara online agar orang lain bisa mengunduh lewat torrent, atau mirror yang dihosting melakukan hal yang sama. Setiap satu dihitung sebagai 1.000 unduhan.
AI Horde
Jaringan sukarelawan yang menghasilkan gambar secara gratis di komputer yang disumbangkan. Jumlah gambar yang dibuat dengan model tertentu bersifat publik, dan setiap gambar dihitung sebagai satu unduhan.
Situs generasi
Situs yang menyimpan salinan model sendiri dan membiarkan orang menghasilkan gambar dengannya, seperti PixAI, SeaArt, dan Yodayo. Unduhan mereka dihitung seperti di Civitai dan setiap kali generasi dihitung sebagai satu unduhan.
Token OpenRouter
Model teks yang dilayani melalui API, seperti Claude atau GPT, tidak memiliki bobot untuk diunduh, jadi penggunaannya diukur dalam token: potongan teks yang dibaca dan ditulis melalui OpenRouter, gateway yang digunakan banyak aplikasi, selama 30 hari terakhir. Setiap 10,000,000 token dihitung sebagai satu unduhan. Sumber: OpenRouter (openrouter.ai/rankings), CC BY 4.0.
Model penuh (checkpoint)
Bobot itu sendiri, file yang bisa menghasilkan secara mandiri. Mendapat bonus karena add-on bergantung padanya.
LoRA dan embedding
File add-on kecil yang mengarahkan bobot orang lain ke gaya, karakter, atau konsep tertentu. Tidak bisa dijalankan sendiri.
Keluarga dan bobot
Dasar yang dipakai model, seperti SD 1.5, SDXL, Flux, atau Wan. Setiap model mewarisi tanggal rilis bobot keluarganya.
Usia
Pengurangan nilai berdasarkan seberapa lama bobot keluarga itu dirilis: 150° per tahun, sampai maksimal 750°. Ini menjaga unduhan lama yang sudah bertahun-tahun menumpuk agar tetap di atas daftar.
Dorongan keluarga
Dorongan kecil dan terbatas untuk LoRA dari keluarga yang sedang didorong situs ini sekarang, selalu tercantum dalam rincian.
Skor pengganti
Angka stabil di bawah batas yang diberikan pada model yang belum ada laporan sumbernya, supaya daftar tetap lengkap. Tidak pernah lebih tinggi dari model yang punya data.
Baru! (masa tenggang)
Model yang berumur kurang dari 7 hari menunjukkan label Baru! bukan skor dan tidak masuk peringkat. Skornya dihitung sejak hari pertama, tapi model yang baru sehari tumbuh lebih cepat dari apa pun, jadi tanpa masa tunggu model #1 minggu ini selalu yang baru kemarin, bukan yang bertahan seminggu.
Tren
Bagaimana pertumbuhan model selama periode tertentu dibandingkan dengan pertumbuhan model biasa di periode yang sama. Lebih cepat dari biasanya berarti naik, lebih lambat berarti turun.
Model biasa
Tengah katalog: setengah model dengan angka tumbuh lebih cepat selama periode itu, setengahnya lebih lambat.
Bagaimana popularitas model ini bergerak dibandingkan dengan katalog lainnya: pertumbuhan unduhan, suka, dan penggunaan setiap periode, diukur terhadap pertumbuhan model biasa dalam periode yang sama, dengan skor panasnya saat itu. Di atas pertumbuhan biasa berarti naik, di bawahnya berarti turun. Masa lalu direkonstruksi dari total hari ini, hari pertama model, dan kecepatan unduhan yang diukur jika ada dua pembacaan; model yang belum ada di awal periode menunjukkan n/a.
Contoh render
Prompt dan pengaturan yang dibagikan oleh orang-orang yang membuat render ini di Civitai. Pilih sebuah render untuk melihat cara membuatnya.
Pengaturan
Ukuran
1152x640
Prompt
Anthropomorphic English bulldog soldier in a World War 1 trench, late 1910s. He has short stocky build, wrinkled grey-brown and white fur, heavy jowls, and a deeply sad, weary expression. He wears a muddy British khaki uniform, puttees, and a dented Brodie helmet resting beside him. He sits on a wooden crate inside a dim, damp dugout, writing slowly in a small leather-bound diary with a pencil. Soft rain falls outside the trench entrance. The camera slowly pushes in on his face and the open diary pages. An epic, low, somber male narrator voice says: "War never changes." Cinematic lighting, muted desaturated colors, detailed wet fur and fabric textures, coherent slow motion over 15–20 seconds, heavy emotional atmosphere, no glory or action — only quiet exhaustion.
Pengaturan
Langkah
30
Seed
1535164946
Ukuran
1280x704
Bobot yang dipakai
0.7
Prompt
A 15-second photorealistic cinematic video. An anthropomorphic grey wolf scientist in a cluttered steampunk laboratory filled with brass pipes, glowing gauges, gears, and warm gaslight. He wears a worn leather apron over a white shirt with rolled sleeves and brass goggles pushed up on his forehead. He carefully assembles a detailed mechanical bird made of polished brass, copper, and small clockwork parts on a wooden workbench. While adjusting the wings and gears, he speaks in a thoughtful, serious voice: “At what point does it stop being just a machine? When the gears move on their own… when it reacts… or only when it wants to keep moving? Where exactly does life begin?” He turns a small brass component, watches the mechanical bird’s wing twitch slightly, and stares at it with quiet intensity. Soft steam rises in the background. Realistic fur, metal reflections, and warm steampunk lighting. 15 seconds exact
Pengaturan
Ukuran
1056x704
Prompt
AA beautiful and highly detailed 30-second anime-style video of an anthropomorphic female red panda sitting in a small wooden boat on a calm lake at night. She has soft reddish-brown fur, cream-colored facial markings, large round ears, and a long fluffy ringed tail. She wears an elegant traditional geisha kimono in deep crimson and gold with delicate floral patterns, her hair styled in an elaborate updo decorated with ornate hairpins and silk flowers. Soft white makeup accents her face while keeping her red panda features clear. The boat drifts gently near an ancient Japanese temple with glowing paper lanterns and a tall pagoda reflected on the water. Dozens of floating candles and small paper lanterns drift across the dark lake surface, their warm light shimmering on the gentle ripples. Above, an epic night sky stretches wide — a massive full moon, dense fields of stars, and soft purple-blue clouds edged with silver light. She sings a gentle Japanese-style song in a clear, soft voice, lips moving naturally with the melody: “Yoru no mizu ni, hikari ga mau Tsuki ga michite, kokoro yasuragu Kaze ga sasayaku, furusato no uta Watashi no koe de, yume o tsunagu…”The camera slowly circles the boat in a smooth, cinematic motion, keeping her fully in frame while revealing the temple, floating lights, and vast sky. Soft moonlight and warm candle glow, highly detailed fur and fabric, serene and atmospheric.
Pengaturan
Langkah
20
Seed
393546382
Ukuran
704x960
Bobot yang dipakai
0.7
Prompt
A single continuous cinematic shot in a sunlit courtyard with stone arches and banners. Four women in short black cardigans, white shirts, striped ties, short pleated skirts, and thigh-high black stockings stand in a close group holding thick books. The girl on the far right (long dark wavy hair, hoop earrings) leans in and whispers to the other three with a mischievous smile: “I heard the anatomy professor is EIGHT inches. Some of the other girls saw it." The blonde woman says "No, he's more like nine. That's why I'm walking so funny today. Man am I sore." The blonde girl stretches and groans. The other girls all turn and look at her in shock. They are scandalized. Smooth continuous camera movement, no cuts, natural golden-hour lighting, highly detailed, realistic skin and fabric textures, dynamic expressions and motion.
Pengaturan
Ukuran
736x1088
Prompt
hree anthropomorphic cat adventurers standing on a stone path at the edge of a massive red-rock canyon, viewed from behind. Left: black-furred cat in a green cloak and leather backpack, holding a wooden staff. Middle: orange tabby cat in a blue hooded cloak with a small satchel. Right: white/grey cat in a red cloak and heavy backpack, sword on his back. They overlook a breathtaking canyon filled with ancient stone ruins carved into the cliffs, a long arched bridge spanning the chasm, a winding river far below, cascading waterfalls, and red banners with golden sun symbols hanging from the walls. Bright blue sky with soft white clouds. Camera starts behind them at eye level. Soft wind moves their cloaks and fur. The black cat slowly raises his staff and points toward the distant bridge. The orange cat turns his head slightly toward the others. The white cat shifts his weight and takes the first step forward. They begin walking down the path together, cloaks billowing. Camera slowly pushes forward and slightly rises, revealing more of the vast canyon and ruins. Distant birds glide between the cliffs. Sunlight glints off the river and stone. Ends as they continue toward the bridge, the full scale of the world opening in front of them. Epic atmosphere, rich colors, cinematic lighting, high detail, smooth motion, no text, no watermark.
Pengaturan
Langkah
28
Seed
1357918036
Ukuran
1280x704
Bobot yang dipakai
0.65
Prompt
A static, locked wide shot of a muddy medieval tournament field, focused on two knights in polished steel plate armor riding massive, scaled T-Rexes instead of horses. The first knight, wearing red plumes, rides his T-Rex forward while the second knight, wearing blue plumes, charges from the right to meet him. They clash lances mid-stride, the wooden shafts snapping on impact, then both T-Rexes lunge backward in recoil before settling into a neutral stance. The camera never moves—no push in, no handheld, no zoom, no dolly. Overcast natural light, muddy ground, distant crowd blurred in the background. Audio: the heavy thud of T-Rex footsteps on mud, the sharp crack of lances breaking, the low guttural growls of the dinosaurs, ambient crowd murmur. No music, no other text.
Pengaturan
Langkah
23
Seed
17874010
Ukuran
704x960
Bobot yang dipakai
0.7
Prompt
a anthro woman is standing in her kitchen holding a red mug. (0-10s) she waves at the viewer and said in deep mature accent 'hello there! you got here just in time. David just left for work... and now....' she place her red mug down on the countertop behind her and began to grab her button shirt. she said in a seductive tone 'since it's just us you and me... we can get started" she then rips open her own button shirt very hard and fast exposing her breasts and nipples. breast slightly bounces by this. (10-15s) night club rap music instantly plays here. instant transition cuts to a male pov in bedroom where the anthro woman is completely nude and she is riding the man, her breasts bounce rhythmically as she moves up and down rapidly on his penis. The motion is fast and continuous, with fluid body mechanics and natural weight transfer. Smooth, loopable animation with consistent energy. Static camera framing the couple closely, focusing on the vertical movement. Soft, warm lighting highlights the detailed animation style. High quality, 4k, detailed artwork, smooth motion. anthro tyrannosaurus), (purple scales), (purple skin:1.3), (tan chest:1.3), (tan skin:1.3), mature female, (huge breasts:1.2), (bottom heavy:1.2), (small waist) romantic music playing in background
Pengaturan
Ukuran
704x1056
Prompt
ultra-realistic cinematic reggae music video, chill positive island style: Exact anthropomorphic black cat Rasta with long dreadlocks, colorful headband and shirt, sitting on a wooden porch at golden sunset. He sings the full lyrics with relaxed soulful patois flow, eyes half-closed, paw gestures,holding an smoking joint with swirling smoke, and an rum bottle beside him. detailed jaw movements with detailed fangs.., slow zooms, Warm sunset lighting, palm fronds swaying, fragrant smoke ultra-detailed fur and textures, pure no-stress good-vibes atmosphere, 4K." the cat sings that following song: [0-6s] — Intro (beat kicks in light, selector energy) Camera opens slow on the porch, cat leaning back cool, joint smoke rising. He nods to the rhythm and points forward like calling the crowd. Cat (deep, smooth patois voice): “Yo! Selector! Turn up the bass bin… Watch the horizon… Fire inna the sky… Yeah!” [6-18s] — Chorus 1 (full band drops, everyone feels it) Cat raises the rum bottle high, takes a slow pull from the joint, eyes glowing with peace. Gentle head nods, dreads swaying. Cat (singing with heart, big smile): “Pour out the rum (Pour it!) Light up the herb (Blaze it!) Sun a go down (Way down!) No stress inna the world… Bottle inna hand… Smoke inna the chest… Me and my team… Yeah we truly blessed (Truly blessed!)
Jalankan secara lokal
Furry enhancer Video H3 V2.54.safetensors
887 MB · SafeTensor · bf16
Showcase H3 V2.54.zip
125 MB · Other
Unduh
Unduhan disediakan oleh Civitai. Beberapa kreator meminta login Civitai terlebih dahulu.