Instructions to use beepbeep2724/anna-b1mb0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use beepbeep2724/anna-b1mb0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("beepbeep2724/anna-b1mb0") prompt = "A cinematic high-fashion editorial of anna_b1mb0 wearing a neon-lit cyberpunk outfit, standing amidst the rain-slicked streets of a futuristic Tokyo night market." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA β beepbeep2724/anna-b1mb0

- Prompt
- A cinematic high-fashion editorial of anna_b1mb0 wearing a neon-lit cyberpunk outfit, standing amidst the rain-slicked streets of a futuristic Tokyo night market.

- Prompt
- A serene oil painting of anna_b1mb0 in a flowing white linen dress, reading a leather-bound book in a sun-drenched Tuscan vineyard.

- Prompt
- An epic wide shot of anna_b1mb0 as an interstellar explorer, standing on the edge of a glowing violet crystalline cliff overlooking a swirling nebula.
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 anna_b1mb0 to invoke the concept.
Samples
"A cinematic high-fashion editorial of anna_b1mb0 wearing a neon-lit cyberpunk outfit, standing amidst the rain-slicked streets of a futuristic Tokyo night market."
"A serene oil painting of anna_b1mb0 in a flowing white linen dress, reading a leather-bound book in a sun-drenched Tuscan vineyard."
"An epic wide shot of anna_b1mb0 as an interstellar explorer, standing on the edge of a glowing violet crystalline cliff overlooking a swirling nebula."
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("beepbeep2724/anna-b1mb0")
image = pipe("A cinematic high-fashion editorial of anna_b1mb0 wearing a neon-lit cyberpunk outfit, standing amidst the rain-slicked streets of a futuristic Tokyo night market.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for beepbeep2724/anna-b1mb0
Base model
krea/Krea-2-Raw

