HUNYUAN v1.0 (Olsen in 2012) :
Trained on Hunyuan Video fp8 with 512x512 px with 58 photos of Elizabeth Olsen in 2012 with detailed GPT-4 captions. Tested on Hunyuan Video fp8 and Fast Hunyuan Video fp8 ! No keywords needed. Use around Lora strength=1.1.embedded_guidance_scale= 5.0-8.0 and flow_shift=7.0-12.0:
Positive : {Short summary of the scene e.g. Professional video of a blonde woman giving and interview on the red carpet}, {more detailed scene and background description}, {lighting description}, {camera direction e.g. panning in, panning out, zoom in etc.},<lora:eliolsen_2012_hunyuan_epoch60:1.1>
FLUX v.2 (Olsen in 2017) :
Please Donate Buzz for FLUX Lora Training !
Trained on FLUX.1 [dev] with 80 photos of Elizabeth Olsen in 2017 with detailed GPT-4 captions. Tested on FLUX 1.dev (full) and FLUX fp8 and FLUX nf4 ! No keywords needed. Use around strength 0.8-1.0. Distilled CFG 3.5 and CFG 1.0 (without negative prompt). Clipskip 1. Can be used for example as follows:
Positive : {Artstyle, Character and scene description in usual FLUX fashion}, <lora:eliolsen_2017_local_164_merger_20v1_8v2_34v2_03_03_04:1>
FLUX v.1 (Olsen in 2012) :
Trained on FLUX.1 [dev] with 70 photos of Elizabeth Olsen in 2012 with detailed GPT-4 captions. Tested on FLUX 1.dev (full) and FLUX fp8 and FLUX nf4 ! Use around strength 0.8-1.0. Distilled CFG 3.5 and CFG 1.0 (without negative prompt). Clipskip 1. Can be used for example as follows:
Positive : {Artstyle, Character and scene description in usual FLUX fashion}, <lora:Elizabeth_Olsen_2012_FLUX_epoch_46:1>
SDXL v8.0 2012:
Last versions probably. I wasn't satisfied with the likeness of the other models so I restricted all images to around 2012. Trained on Juggernaut X with 220 photos of Elizabeth Olsen in 2012. Tested on Juggernaut X, Juggernaut v7, RealismEngine 2, RealVisXL3 and AlbedoBase 2.0! Use with keyword : "elxolsn" . Use around strength 1.0-1.1. CFG 5.0-7.0. Clipskip 1. 10-40 steps. Can be used for example as follows:
Positive : {Artstyle}, {Character and scene description}, elxolsn, <lora:eliolsen_2012_juggerX_xl_1_wocap-elxolsn-000120:1.05>
Negative : ugly, deformed, airbrushed, photoshop, rendered, (multiple people), child
SDXL v7.0 :
Trained on Juggernaut X with 347 photos of Elizabeth Olsen. Tested on Juggernaut X, Juggernaut v7, RealismEngine 2, RealVisXL3! Use with keyword : "elixolsen" . Use around strength 0.85-1.0. CFG 5.0-7.0. Clipskip 1. Can be used for example as follows:
Positive : {Artstyle}, {Character and scene description}, elixolsen, <lora:eliolsen_juggerX_xl_8_standard_wocap_merger_lastmodel_120_04_06-elixolsen:0.95>
Negative : ugly, deformed, airbrushed, photoshop, rendered, (multiple people), child
SDXL v6.0 Juggernaut X :
Trained for Juggernaut X with 320 photos of Elizabeth Olsen. Use with Juggernaut X, Juggernaut v7 or RealismEngine 2. Works best with Juggernaut X. Use with keyword : "elixolsen". Can be used for example as follows:
Positive : {Artstyle}, {Character and scene description}, elixolsen, <lora:eliolsen_juggerX_v7_standard_wocap_merger_27_74_98_02_03_05-elixolsen:1>
Negative : ugly, deformed, airbrushed, photoshop, rendered, (multiple people), child
SDXL v5.0 160mb :
Trained on 150 even more consistent (2015-2017) photos of Elizabeth Olsen with a smaller network dimension (32 instead of 64) to allow for smaller model size by half. Use with keyword : "elixolsen"!
SDXL v4.0:
Trained on 347 high quality photos of Elizabeth Olsen between 2015-2019 to ensure better facial consistency. Slight likeness improvement.
SDXL v3.0:
Lora trained on 199 images of Elizabeth Olsen and captioned by GPT-4 Vision. Lora strength should be between 0.8-1.2.
SDXL v2.0:
Lora retrained on 100 images of Elizabeth Olsen with SDXL 1.0 base and an improved Lora architecture to increase flexibility and likeness. The recommended strength on ComfyUi is 0.9-1.1.
SDXL v1.0:
Lora trained on 100 images of Elizabeth Olsen with SDXL 1.0 base. The recommended strength on ComfyUi is 0.9-1.1.
Description
TRAINED ON CIVITAI.
All my images were tested directly in FLUX.1 [dev] (fp8) and should work on approx. 12 GB VRAM cards on FORGE (with fp8, clip_l and tf5_xxl as usual). Also works with NF4.
FLUX v.1 (Olsen in 2012) :
Trained on FLUX.1 [dev] with 70 photos of Elizabeth Olsen in 2012 with detailed GPT-4 captions. Tested on FLUX Dev (full) and FLUX fp8 ! Use around strength 0.8-1.0. Distilled CFG 3.5 and CFG 1.0 (without negative prompt). Clipskip 1. Can be used for example as follows:
Positive : {Artstyle, Character and scene description in usual FLUX fashion}, <lora:Elizabeth_Olsen_2012_FLUX_epoch_46:1>
FAQ
Comments (13)
My Fav so far. Getting absolutely fantastic results from this.
Glad to hear!
Could u pls share the lora training method?
I just use the CIVITAI trainer. It costs approx 2000 Buzz per model. I dont change anything about the default settings other than the number of epochs so that I have a good 1000-2000 steps.
@steffangund How many image do you use? And what image description process do you use?
@challasvarias01106 As written right below the images I used 70 images all taken in 2012 and used GPT-4 vision api to caption them with detail. Then I reaqd through some of them to make sure no glaring errors were made.
@steffangund Thank you for the answer! What's is your recommended distribution between close up, upper body and full body photos if in your case you are using 70 images?
I still don't get the correct proportions of the number of the type of images should I use in my dataset.
@challasvarias01106 Depends on what you want. I always like to go something like 50/25/25 for closeup/mid shot/full body. If you want her lkeness to be perfect but with not perfect flexibility you can go something like 70/30 face closeup/mid shot. I have noticed that FLUX is significantly better at generalizing i.e. even if you use more face it will be able to generate good wide shots. SDXL is more picky.
@steffangund Thank you for your time
Still one of the best Flux Loras out there. Absolutly insane pictures with an 18mb LORA ♥️ Keep it up bro!
PS: Would love to see your Meghan Markle LORA converted to Flux 👀
Thank you 🙏🏼
Details
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Elizabeth_Olsen_2012_FLUX_epoch_46.safetensors
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Elizabeth_Olsen_2012_FLUX_epoch_46.safetensors
Elizabeth_Olsen_2012_FLUX_epoch_46.safetensors
Elizabeth_Olsen_2012_FLUX_epoch_46.safetensors
Elizabeth_Olsen_2012_FLUX_epoch_46.safetensors
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Same model published on other platforms. May have additional downloads or version variants.