metadata
base_model: krea/Krea-2-Raw
tags:
- text-to-image
- diffusers
- lora
- krea2
- template:sd-lora
license: apache-2.0
instance_prompt: RIDI
widget:
- text: >-
A futuristic cyberpunk city street drenched in neon rain, featuring a
sleek RIDI chrome robot meditating on a floating platform.
output:
url: sample_0.png
- text: >-
A whimsical oil painting of a cozy Victorian library where a fluffy RIDI
golden retriever wears reading glasses and sits by a fireplace.
output:
url: sample_1.png
- text: >-
An epic cinematic shot of an ancient overgrown jungle temple with a
massive, moss-covered RIDI stone statue towering over a hidden waterfall.
output:
url: sample_2.png
Krea 2 LoRA — funseshon/ridi
- Prompt
- A futuristic cyberpunk city street drenched in neon rain, featuring a sleek RIDI chrome robot meditating on a floating platform.
- Prompt
- A whimsical oil painting of a cozy Victorian library where a fluffy RIDI golden retriever wears reading glasses and sits by a fireplace.
- Prompt
- An epic cinematic shot of an ancient overgrown jungle temple with a massive, moss-covered RIDI stone statue towering over a hidden waterfall.
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 RIDI to invoke the concept.
Samples
"A futuristic cyberpunk city street drenched in neon rain, featuring a sleek RIDI chrome robot meditating on a floating platform."
"A whimsical oil painting of a cozy Victorian library where a fluffy RIDI golden retriever wears reading glasses and sits by a fireplace."
"An epic cinematic shot of an ancient overgrown jungle temple with a massive, moss-covered RIDI stone statue towering over a hidden waterfall."
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("funseshon/ridi")
image = pipe("A futuristic cyberpunk city street drenched in neon rain, featuring a sleek RIDI chrome robot meditating on a floating platform.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")