CivArchive
    Blowjob [Framepack F1] I2V - BJF1_v1.0_w1w4
    NSFW

    Lora for Framepack, trained in Musubi Tuner.

    VERSION 1.0_xtreme Some important things for inference:

    1. Try different seeds, best way to get different motion

    2. Use full descriptive prompt (use an LLM if you don't want to type more). Hunyuan needs long prompts

    3. Try latent Window 4, just like seed this can sometimes give very different (and nice) results

    4. Try high steps, I use 35 steps now and it seems a lot cleaner. even more steps and higher resolution (if you have VRAM) is preferred.

    How to prompt:

    The model is pretty strong, but as always seed matters a lot. Strength 1 can be good or sometimes go a bit crazy. Step count is also important for good results, if things start breaking down, increase the steps and maybe reduce model strength to 0.7-0.8, combine with other blowjob loras too if you like. All examples are on strength 1 and 25 steps to show model limitations.

    Directing with prompts isn't perfect, but some things that might help you customise results are.
    fixed camera,

    handheld camera, (if you want it to move),

    sucks tip,

    sucks half penis,

    sucks full penis,

    engulfs penis,

    strokes penis while sucking,

    hollows cheeks,

    holds deepthroat, (to create a pause at the bottom)

    slow/steady/fast movement, (choose one to get desired results I like fast in most cases)

    smooth movement, (can helps stop jerky moves)

    As always follow the prompt examples, here are some more to show the structure:

    A 3D scene of a light-skinned woman with long redhair, wearing around green earrings and white top, is kneeling and performing a blowjob. she strokes the penis with her hand and her head bobs up and down with rapid fast movement as she takes the half the penis into her mouth with each descent, her cheeks hollowing as she creates immense suction, her hand strokes in sync with the sucking. The scene is set in an indoor bedroom. The perspective is POV.
    A woman with shoulder length, red hair , wearing a blue skirt with her huge breasts out is kneeling is performing a blowjob. her lips wrap around the shaft, her cheeks hollowing as she applies suction during rapid fast movements, her head bobbing up and down energetically as she takes the full penis into her mouth with each descent. The scene is set in a jungle with trees and green shrubs. The camera is fixed. The perspective is a side view close-up.
    A dark-skinned woman with shoulder-length, straight auburn hair, prominent made-up eyes, and full lips, wearing dangly red earrings, is positioned in a bathtub, leaning forward performing a blowjob. She begins with short and steady movement of her mouth up and down, hollowing her cheeks, her lips wrapped tightly around the head of the penis. Her hand, adorned with long, colorful, pointed nails and a ring, firmly holds the base of his shaft. As the action intensifies, she transitions into deepthroat with fast, energetic up-and-down movements of her head along his full length, until pausing at the bottom and looking into the camera. The scene takes place in a white jacuzzi-style bathtub filled with murky, greenish water; jets are visible on the side of the tub, and a white towel rests on the tub's edge. The man's lower torso and groin are visible. The perspective is POV with an unsteady camera.
    3D scene depicting a woman with fair skin and green hair adorned with a red mask featuring white accents and a decorative symbol, her breasts partially visible, is performing a blowjob. She sucks the full penis with slow movement, her lips wrapped completely around the shaft as her head moves up and down with smooth, deliberate motions, hollowing her cheeks intensely on each downward stroke to create powerful suction as she takes the entire length into her mouth repeatedly, the tight seal of her lips sliding along the full shaft in a steady rhythm. The scene takes place in what appears to be an indoor setting with wooden flooring visible in the background, creating a warm-toned environment against a darker backdrop. The camera remains fixed throughout the scene. The perspective is POV, showing the action from the receiving partner's viewpoint looking down at her as she performs.
    A light-skinned brunette woman with her hair pulled back, visible tattoos on her chest and shoulder, wearing a red top and small stud earrings, is performing a blowjob on a man whose erect penis extends from the right side of the frame. She begins by taking half of his thick shaft into her mouth, her cheeks hollowing inward as she creates suction, her head moving up and down with slow, smooth movements while her lips grip tightly around his girth. As the action progresses, she maintains the same depth, continuing to suck half of his penis while her cheeks remain hollowed, but her pace increases to steady, smooth movements, her mouth working more rhythmically up and down his length as her lips slide along his shaft. The background shows a bedroom wall decorated with various anime posters and photographs, with blue neon lighting visible creating ambient illumination. The scene is captured with a fixed camera from a close-up side view perspective.

    developments notes:
    I took a lot longer with this than I had initially planned. I did a quick BJ lora 2 weeks ago and did not really like the result, it was ok, but not consistent. I also tried a bunch of experiments, with trigger words and further training on the same dataset, and none of it works. Turns out a good dataset with strong captions is the most important thing.

    I've not extensively tested this model, but have played around enough to like it. It consistently gets some nice motion and can be pretty dynamic/creative. By no means is it perfect and sometimes can be a bit strong, especially on animated content (change seeds if you don't like the stretch lips effect, I'll train it down in the next iteration).

    I've found Blowjob content is extremely varied and no lora is gonna have the perfect motion for every situation. I'm calling this version 1.0 but might further train the model (maybe on more data) to try clean up the wildness. Blowjobs have been much harder to get right than penetration lol, which I didn't expect.

    Future plans:
    I plan to train a regular FP blowjob model next (pretty much the same dataset, but just on normal FP) it has some strengths I've noticed that F1 is missing. This model works with regular Framepack, but not to a good enough standard.



    training details:

    5325 steps, latent window 1, dataset 76 clips (11 epochs)

    3080 steps, latent window 4, dataset 163 clips (38 clips overlap) (7 epochs)

    videos from 5-15 seconds at 480p

    Note: If one of your images was used for showcase and you'd like it removed, just let me know.

    Description

    FAQ

    Comments (44)

    yefan022Jun 16, 2025· 3 reactions
    CivitAI

    Your lora is great!😍

    GSoneJun 16, 2025· 1 reaction
    CivitAI

    Absolute cinema 🙌

    tunnah
    Author
    Jun 27, 2025· 1 reaction

    Thanks for your great Gens!

    DPCharlieJun 16, 2025· 1 reaction
    CivitAI

    :)

    osirigunsoJun 16, 2025· 1 reaction
    CivitAI

    Thanks for the new LORA!

    Another great job and I'm looking forward to generating with it!

    tunnah
    Author
    Jun 17, 2025· 1 reaction

    hey thanks for your gens once again! I'm considering further training of the model for 1.1 I've found it's not always giving the best motion, so please let me know any issue you might have

    tunnah
    Author
    Jun 17, 2025· 1 reaction

    For example, would a simpler prompt structure be good. Something like "the girl does a blowjob, moving her head up and down along the full penis, the girl sucks the tip" etc. I think the next training will focus on easier prompting

    osirigunsoJun 17, 2025· 1 reaction

    @tunnah As far as I've noticed myself, I guess I'm worried that the cheeks hollowing is too strong, making the face look like it's melted. I think it's especially noticeable because it's I2V in a non-realistic illustration. I wonder if it looks stronger because it deforms not only when it is put out but also when it is put in.

    I'm trying different things, like strengthening and weakening the prompts, choosing words, etc. It would be easier if I could do the good old tag-based prompts. But I'm enjoying it!

    osirigunsoJun 17, 2025· 1 reaction

    It looks like side view is easier to get better result than pov view, imo.

    tunnah
    Author
    Jun 18, 2025

    @osirigunso thanks so much for testing further! those are some great results. You're right, in pov the movement can be bad. I have discovered that using latent window 4, can massively improve the movement. could you give this a go and see if it fixes some problems?

    I will train more for window 9 later.

    osirigunsoJun 20, 2025

    @tunnah Yeah, if I have another lora tuning again, I'll give it a try. But it may be difficult to find a meaningful conclusion by comparing the results, since the same seed will produce different video results. But it's a fun process though.

    tunnah
    Author
    Jun 27, 2025

    @osirigunso All good thanks! appreciate your testing

    3050702Jun 16, 2025· 1 reaction
    CivitAI

    t2v too?

    tunnah
    Author
    Jun 17, 2025

    I haven't tried it with T2V, please feel free to give it a go

    3050702Jun 17, 2025· 1 reaction

    @tunnah it dosnt work with hunyuan t2v :(

    tunnah
    Author
    Jun 17, 2025

    @dominik1996d840 ah damn, thanks for trying it!

    Tbh I don't have a tonne of interest in T2V, but hope we get some model that can do everything soon.

    7180347Jun 27, 2025

    @tunnah this is awesome, hope you get into t2v eventually, but no pressure!

    AfenixJun 17, 2025· 1 reaction
    CivitAI

    Amazing. You're a true craftsman.

    obinna7713Jun 17, 2025· 1 reaction
    CivitAI

    are you using framepack studio with this Hunyuan lora? are there negative prompts?

    tunnah
    Author
    Jun 27, 2025

    Hi sorry for the late reply, I use Musubi inference script. Specifically H1111 gradio: https://github.com/maybleMyers/H1111

    I hope framepack studio will work with Musubi lora soon.

    I don't use negative prompts. But they might help

    NRubricJun 18, 2025· 1 reaction
    CivitAI

    I tried it with Framepack Studio and for me it didn't work at all.
    I tried differend prompts with differend starting pictures... the girls only sucking at the tip of the glance in very slow-motion without any other movement.

    What I'm doing wrong?

    SIDKJun 18, 2025

    I don't know what framepack studio's interface looks like but you might want to check the latent window size. at a smaller size like 9, it's generating in 9 frame chunks, so a longer window like 12 or 18 could let the LORA concept "run" for longer and be more complete before window closes.

    DarkMaster13Jun 18, 2025

    Not work for me too in Framepack Studio:
    Error loading LoRA bj-w4-000007: list index out of range

    NRubricJun 18, 2025

    I did some research and it seem that LoRas made with Musubi still didn't work with Framepack Studio.

    tunnah
    Author
    Jun 27, 2025· 1 reaction

    Sorry for the late response all, I hope framepack studio will work with musubi tuner. I will explore some other training repos for the future, if Studio is the most popular.

    DarkMaster13Jun 18, 2025· 1 reaction
    CivitAI

    Not work for me in FramePack-Studio


    Error loading LoRA bj-w4-000007: list index out of range

    Ensuring F1 model has no LoRAs loadedUnloading all LoRAs from F1 modelModel doesn't have any LoRA adapters or peft_config.[After unloading LoRAs] Transformer has no peft_config attribute[After unloading LoRAs] No LoRA components found in transformerSaved metadata and starting image for job 250618_042807_709_2357Loaded CLIPTextModel to cuda:0 as complete.Cache miss for prompt: A woman with shoulder length, red hair , wearing a blue skir...Override system prompt is disabled, using default templateUnloaded CLIPTextModel as complete.Loaded AutoencoderKLHunyuanVideo to cuda:0 as complete.Unloaded AutoencoderKLHunyuanVideo as complete.Loaded SiglipVisionModel to cuda:0 as complete.Offloading AutoencoderKLHunyuanVideo from cuda:0 to preserve memory: 6 GBOffloading SiglipVisionModel from cuda:0 to preserve memory: 6 GBUnloading all LoRAs from F1 modelModel doesn't have any LoRA adapters or peft_config.[After unloading LoRAs] Transformer has no peft_config attribute[After unloading LoRAs] No LoRA components found in transformerLoading LoRA 'bj-w4-000007.safetensors' to F1 modelError loading LoRA bj-w4-000007: list index out of range

    punkbuzter340Jun 18, 2025· 1 reaction

    I got peft_config errors when trying to load multiple lora's and one of the lora's was not made for that specific model, this model specifically states that it was trained for the F1 model, if you're using this Lora with the vanilla HunyuanVideo model and another lora it will not work.

    DarkMaster13Jun 18, 2025· 1 reaction

    @punkbuzter340 It F1 model (as you can see in log: Ensuring F1 model has no LoRAs loadedUnloading...),
    I check only with this one lora. So this lora not works with FramePack-Studio F1

    punkbuzter340Jun 18, 2025· 1 reaction

    @DarkMaster13 I tried it, works for me. Though I don't get any good results with it but that's probably because of my wack settings. Might be worth noting that I'm using the "colinurbs_framepack", which gives me a lot more settings than the one from Illyasviel or Comfy.

    xsao229Jun 19, 2025· 2 reactions

    I too cannot get good results in framepack F1. No movement almost as if the lora is not present.

    osirigunsoJun 19, 2025· 1 reaction

    I heard Framepack studio is not capable with Loras made with musibi tuner.

    DarkMaster13Jun 19, 2025

    @xsao229 It because LORA not loaded and you generate without LORA check console you should see "modelError loading LoRA bj-w4-000007: list index out of range"

    DarkMaster13Jun 19, 2025

    @punkbuzter340 I use https://github.com/colinurbs/FramePack-Studio
    Check console for message "modelError loading LoRA bj-w4-000007: list index out of range" Did you get it ?

    DarkMaster13Jun 19, 2025

    @osirigunso Yeah probably you are right

    xsao229Jun 19, 2025· 2 reactions

    @DarkMaster13 A framepack studio compatible version would be sweet.

    osirigunsoJun 20, 2025· 4 reactions

    I am using this framepack fork.

    https://github.com/git-ai-code/FramePack-eichi

    This fork is compatible with this LORA because it imports kohya_ss's fork into the LORA reading function. musubi tuner is an environment for creating LORA made by kohya_ss. There are logs that are read after identifying LORA created by musubi tuner.

    punkbuzter340Jun 20, 2025· 1 reaction

    @DarkMaster13 I do not get any index errors, i'm using colinurbs fork because it adds a whole bunch of other features like negative prompt, ability to weight lora's, add multiple lora's, change latent frame size, define the TeaCache settings, and time-stamp prompts to trigger at specific seconds in the video....
    I'd rather not trade one feature for another :P

    DarkMaster13Jun 21, 2025· 1 reaction
    tunnah
    Author
    Jun 27, 2025· 5 reactions

    Thanks all, for troubleshooting. Hopefully we can arrive at some common repo/lora formats for framepack. Otherwise it will be hard for it to become popular

    NyaganoJun 19, 2025· 1 reaction
    CivitAI

    Excellent. What kind of descriptions did you write in the txt file during your studies?

    tunnah
    Author
    Jun 27, 2025

    Hi the descriptions in the example prompts are what I used in the txt file. Important to have descriptive natural language text for Hunyuan

    darkjudicator551Jun 26, 2025· 1 reaction
    CivitAI

    Hi, how long did take to train? And what hardware did you use?

    tunnah
    Author
    Jun 27, 2025· 3 reactions

    I wasted a lot of money and time experimenting and learning. But I would say the final checkpoint took 24 hours on 1x H100.

    7180347Jun 27, 2025· 1 reaction

    really appreciate your effort, it shows!

    LORA
    Hunyuan Video

    Details

    Downloads
    1,682
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/16/2025
    Updated
    8/26/2026
    Deleted
    -

    Files

    bj-w4-000007.safetensors

    Mirrors

    TensorFiles (1 mirrors)