metadata
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: M1ll3
widget:
- text: >-
A cinematic shot of a futuristic cyberpunk city street drenched in neon
rain, featuring a glowing holographic M1ll3 sign floating above a crowded
marketplace.
output:
url: sample_0.png
- text: >-
An ethereal oil painting of a serene alpine meadow at sunrise, where a
rustic wooden M1ll3 sits quietly beside a crystal-clear glacial stream.
output:
url: sample_1.png
- text: >-
A macro photography shot of a high-tech laboratory petri dish, showing a
microscopic metallic M1ll3 structure assembling itself through
nanotechnology.
output:
url: sample_2.png
Krea 2 LoRA — gabai/mill2
- Prompt
- A cinematic shot of a futuristic cyberpunk city street drenched in neon rain, featuring a glowing holographic M1ll3 sign floating above a crowded marketplace.
- Prompt
- An ethereal oil painting of a serene alpine meadow at sunrise, where a rustic wooden M1ll3 sits quietly beside a crystal-clear glacial stream.
- Prompt
- A macro photography shot of a high-tech laboratory petri dish, showing a microscopic metallic M1ll3 structure assembling itself through nanotechnology.
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 M1ll3 to invoke the concept.
Samples
"A cinematic shot of a futuristic cyberpunk city street drenched in neon rain, featuring a glowing holographic M1ll3 sign floating above a crowded marketplace."
"An ethereal oil painting of a serene alpine meadow at sunrise, where a rustic wooden M1ll3 sits quietly beside a crystal-clear glacial stream."
"A macro photography shot of a high-tech laboratory petri dish, showing a microscopic metallic M1ll3 structure assembling itself through nanotechnology."
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("gabai/mill2")
image = pipe("A cinematic shot of a futuristic cyberpunk city street drenched in neon rain, featuring a glowing holographic M1ll3 sign floating above a crowded marketplace.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")