Instructions to use aimalias/tf0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/tf0 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("aimalias/tf0") prompt = "A TF0 woman wearing high-tech iridescent armor, standing amidst a neon-lit cyberpunk cityscape during a heavy rainstorm." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ aimalias/tf0

- Prompt
- A TF0 woman wearing high-tech iridescent armor, standing amidst a neon-lit cyberpunk cityscape during a heavy rainstorm.

- Prompt
- A serene TF0 woman in a flowing linen dress, painting a landscape in a sun-drenched Tuscan vineyard.

- Prompt
- A cinematic shot of a TF0 woman as an astronaut, gazing through a spaceship portal at a swirling gold and violet 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 TF0 woman to invoke the concept.
Samples
"A TF0 woman wearing high-tech iridescent armor, standing amidst a neon-lit cyberpunk cityscape during a heavy rainstorm."
"A serene TF0 woman in a flowing linen dress, painting a landscape in a sun-drenched Tuscan vineyard."
"A cinematic shot of a TF0 woman as an astronaut, gazing through a spaceship portal at a swirling gold and violet 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("aimalias/tf0")
image = pipe("A TF0 woman wearing high-tech iridescent armor, standing amidst a neon-lit cyberpunk cityscape during a heavy rainstorm.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for aimalias/tf0
Base model
krea/Krea-2-Raw

