Training With QLoRA: Marisa Abela with dark hair pulled back in a low ponytail meets the viewer's gaze directly. She exudes a sophisticated edge in a black leather jacket detailed with gold stitching. The image employs a minimalist aesthetic, placing the focus entirely on the subject. A clean, white background provides a neutral canvas, eliminating distractions. Soft, even lighting creates a calm and serene atmosphere. The overall style is elegant and understated, highlighting the woman's features and the jacket's details with a simple, yet impactful presentation. The composition prioritizes clarity and a sense of quiet confidence.
Prompt
Training Without QLoRA: Marisa Abela with dark hair pulled back in a low ponytail meets the viewer's gaze directly. She exudes a sophisticated edge in a black leather jacket detailed with gold stitching. The image employs a minimalist aesthetic, placing the focus entirely on the subject. A clean, white background provides a neutral canvas, eliminating distractions. Soft, even lighting creates a calm and serene atmosphere. The overall style is elegant and understated, highlighting the woman's features and the jacket's details with a simple, yet impactful presentation. The composition prioritizes clarity and a sense of quiet confidence.
Prompt
Testing With QLoRA: Marisa Abela wears low cut spaghetti strap summer dress and smiles at camera
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Testing Without QLoRA: Marisa Abela wears low cut spaghetti strap summer dress and smiles at camera
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Testing With QLoRA: Marisa Abela, cyberpunk, night city, black hole, singularity, apocalypse, nihilism, cthuru, Krysten Ritter goth black bangs dark makeup, soft lights, depth of field, full length shot, photorealistic, cinematic, octane render, unreal engine, hyper detailed, volumetric lighting, hdr
Prompt
Testing Without QLoRA: Marisa Abela, cyberpunk, night city, black hole, singularity, apocalypse, nihilism, cthuru, Krysten Ritter goth black bangs dark makeup, soft lights, depth of field, full length shot, photorealistic, cinematic, octane render, unreal engine, hyper detailed, volumetric lighting, hdr
The QLoRA fine-tuning process of marisa_abela_lora_flux_nf4 takes inspiration from this post (https://huggingface.co/blog/flux-qlora). The training was executed on a local computer with 1000 steps and the same parameters as the link mentioned above, which took around 6 hours on 8GB VRAM 4060. The peak VRAM usage was around 7.7GB. To avoid running low on VRAM, both transformers and text_encoder were quantized. All the images generated here are using the below parameters