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metadata
base_model: krea/Krea-2-Raw
tags:
  - text-to-image
  - diffusers
  - lora
  - krea2
  - template:sd-lora
license: apache-2.0
instance_prompt: EC4M woman
widget:
  - text: >-
      A cinematic shot of an EC4M woman wearing bioluminescent armor, standing
      amidst a floating neon jungle on a distant alien planet.
    output:
      url: sample_0.png
  - text: >-
      A nostalgic 1950s oil painting of an EC4M woman reading a leather-bound
      book in a cozy, sun-drenched library filled with dust motes.
    output:
      url: sample_1.png
  - text: >-
      A high-fashion editorial photo of an EC4M woman draped in iridescent silk,
      posing against the stark, brutalist concrete architecture of a futuristic
      city.
    output:
      url: sample_2.png

Krea 2 LoRA — aimalias/ec4m

Prompt
A cinematic shot of an EC4M woman wearing bioluminescent armor, standing amidst a floating neon jungle on a distant alien planet.
Prompt
A nostalgic 1950s oil painting of an EC4M woman reading a leather-bound book in a cozy, sun-drenched library filled with dust motes.
Prompt
A high-fashion editorial photo of an EC4M woman draped in iridescent silk, posing against the stark, brutalist concrete architecture of a futuristic city.

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 EC4M woman to invoke the concept.

Samples

sample

"A cinematic shot of an EC4M woman wearing bioluminescent armor, standing amidst a floating neon jungle on a distant alien planet."

sample

"A nostalgic 1950s oil painting of an EC4M woman reading a leather-bound book in a cozy, sun-drenched library filled with dust motes."

sample

"A high-fashion editorial photo of an EC4M woman draped in iridescent silk, posing against the stark, brutalist concrete architecture of a futuristic city."

Use it with diffusers

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/ec4m")
image = pipe("A cinematic shot of an EC4M woman wearing bioluminescent armor, standing amidst a floating neon jungle on a distant alien planet.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")