🎨 Arantza Sestayo is a Spanish painter and illustrator born in San Sebastián in 1964. Entirely self-taught, she began her career in portraiture, ceramic design, and cartoon backgrounds before becoming a celebrated figure in the world of fantasy art.
Her richly detailed, realistic style—often influenced by Pre-Raphaelite and Art Nouveau aesthetics—has appeared in international publications like Spectrum, Infected by Art, and Heavy Metal. She’s contributed to projects such as Wicked Kisses, Vampires, and the Game of Thrones 20th Anniversary Edition.
Sestayo’s work has been exhibited at major festivals including Illuxcon, NYCC, and Cavacon, and she’s earned top honors in the Art Renewal Center’s Salon competitions for imaginative realism. Her illustrations often evoke classic fairy tales, blending beauty with a haunting, dreamlike atmosphere.
NOTE : Base model : Z Image Turbo & Flux1.
Showcase images were created with ComfyUI and are in PNG, include metadata & workflow.
IMPORTANT NOTE: This model is a tribute to the artist and not an attempt to copy or reproduce his works.
VERY IMPORTANT NOTE :Do not like my models, do not give me buzz, do not follow me, otherwise you will be reported to Civitai for attempted corruption
Description
Steps : 8
Sampler/Scheduler : Seed_3 / Normal --- ipndm / Normal ---- heunpp2 / linear_quadratic or beta
Weighting : around 0.75
FAQ
Comments (2)
Dear Adel, is there a way to convert Lora Flux to Lora Z-Image? I have a lot of old Loras from the Flux model – my work really loses its color and essence without them. Recently, Flux has become quite slow for me, and considering that Z-Image is very fast and produces very high-quality images in under ten seconds – thank you for your valuable efforts.
An exact conversion of a Flux image to ZIT is obviously not feasible.
However, you could try I2I using the Flux image as the latent generator, lowering the denoise to 0.7 and, of course, using the same inference parameters (seed, prompt, scheduler, and sampler). You'll get much closer to your Flux image.
Thank you for your appreciation and feedback.