--- base_model: krea/Krea-2-Raw tags: - text-to-image - diffusers - lora - krea2 - template:sd-lora license: apache-2.0 instance_prompt: "F0WL3R woman" widget: - text: "A cinematic wide shot of a F0WL3R woman standing amidst a neon-drenched cyberpunk marketplace, wearing iridescent holographic armor under a heavy rain." output: url: sample_0.png - text: "A serene oil painting of a F0WL3R woman reading an ancient leather-bound tome in a sun-drenched Victorian library filled with floating dust motes." output: url: sample_1.png - text: "A high-action shot of a F0WL3R woman navigating a futuristic white-sand desert on a hovering chrome surfboard, with three moons hanging in a violet sky." output: url: sample_2.png --- # Krea 2 LoRA — aimalias/f0wl3r A DreamBooth-LoRA for **Krea 2**, trained on **Krea 2 RAW** and shown on **Krea 2 Turbo**. The samples below were generated with this LoRA on Turbo (8 steps). ## Trigger Use the token `F0WL3R woman` to invoke the concept. ## Samples ![sample](./sample_0.png) > *"A cinematic wide shot of a F0WL3R woman standing amidst a neon-drenched cyberpunk marketplace, wearing iridescent holographic armor under a heavy rain."* ![sample](./sample_1.png) > *"A serene oil painting of a F0WL3R woman reading an ancient leather-bound tome in a sun-drenched Victorian library filled with floating dust motes."* ![sample](./sample_2.png) > *"A high-action shot of a F0WL3R woman navigating a futuristic white-sand desert on a hovering chrome surfboard, with three moons hanging in a violet sky."* ## Use it with diffusers ```py import torch from diffusers import Krea2Pipeline pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda") pipe.load_lora_weights("aimalias/f0wl3r") image = pipe("A cinematic wide shot of a F0WL3R woman standing amidst a neon-drenched cyberpunk marketplace, wearing iridescent holographic armor under a heavy rain.", num_inference_steps=8, guidance_scale=0.0).images[0] image.save("output.png") ```