, closeup portrait, perfect hair, hair upsweep updo, posing, (Polaroid photo, biker outfit, zipper b.jpeg)
, beautiful hair, ((closeup portrait_1.3)), ((face focus)), (((London))), natural skin texture.jpeg)
, closeup portrait, perfect hair, hair upsweep updo, posing, (Polaroid photo, biker outfit, zipper b.jpeg)
, beautiful hair, ((closeup portrait_1.3)), ((face focus)), (((London))), natural skin texture.jpeg)
, beautiful hair, ((closeup portrait)), ((face focus)), (((London))), natural skin texture, ((.jpeg)
, a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), photo of th.jpeg)
, a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), photo of th.jpeg)
, a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), large breas.jpeg)
, a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), large breas.jpeg)
, a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), large breas.jpeg)
, a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), large breas.jpeg)
, a woman as a movie star, modelshoot style, (extremely detailed CG unity 8k wallpaper), large breas.jpeg)
Verified: a year ago
PickleTensor
Type | |
Stats | 4,973 |
Reviews | (445) |
Published | Jun 21, 2023 |
Base Model | |
Training | Steps: 1,000 Epochs: 333 |
Trigger Words | 4nn4k3ndrick |
Hash | AutoV2 E883F15B61 |
A commission of @Zorglub.
Anna Kendrick is an American actress and singer, known for her roles in the Pitch Perfect film series and Up in the Air, among many others.
First of all, I recommend checking @Airathias's version of Anna, which is excellent. As @SDKoh reminds me sometimes, embeddings of the same subject usually work pretty well when combined in the same prompt, so it may be a good idea to try in this case.
This was a 1000-step TI trained on a dataset of 18 images. Batch size 3 and gradient 2, learning rate 0.004, as usual.
Curious about my work process? I have summarized it here.
Appreciate my work? My TIs are free, but you can always buy me a coffee. :)