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Michelle Gomez (Flux) - Actress

8
60
2
Verified:
SafeTensor
Type
LoRA
Stats
60
Reviews
Published
Feb 13, 2025
Base Model
Flux.1 D
Training
Steps: 2,880
Epochs: 32
Hash
AutoV2
A61BAE82AB
The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.
IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

If you like this LoRA and generate some images, please share them here. It helps me learn what works and what does not!!!

There is no trigger word needed(all the samples were done without one). You can use 'michelle-gomez' if you want.

Michelle Gomez (born November 23, 1966) is a Scottish actress known for her distinctive performances in television, particularly in sci-fi, fantasy, and dark comedy roles.

Notable Roles:

  • Missy (The Master) in Doctor Who (2014–2017): A female incarnation of the iconic villain, the Master, opposite Peter Capaldi’s Twelfth Doctor. Her performance was widely praised for its mix of charm, menace, and humor.

  • Madame Satan/Lilith in Chilling Adventures of Sabrina (2018–2020): A cunning and manipulative character who serves as both a mentor and antagonist to Sabrina.

  • Miranda Croft in The Flight Attendant (2020–2022): A mysterious and deadly operative in this HBO Max thriller-comedy.

  • Dr. Wicked in Doom Patrol (2024): A new role in the offbeat superhero series.

  • Miss Pickwell in Bad Education (2012–2013): Played a hilariously strict teacher in the British comedy series starring Jack Whitehall.

  • Lady Ursula in The Watch (2021): Part of the fantasy series inspired by Terry Pratchett’s Discworld novels.

I create these LoRAs for less popular people I do not see represented by other creators.

Likes, shares, and buzz are always appreciated, as they help me decide whether to create similar ones or switch to other niche genres.

Gifting me buzz is great, but training is 99% done locally, so others could use it more.