Instructions to use temdah/krea2-temia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use temdah/krea2-temia 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("temdah/krea2-temia") prompt = "A cinematic close-up of Temia, a futuristic cyborg with iridescent plating, standing amidst the neon-drenched rain of a cyberpunk Tokyo street." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ temdah/krea2-temia

- Prompt
- A cinematic close-up of Temia, a futuristic cyborg with iridescent plating, standing amidst the neon-drenched rain of a cyberpunk Tokyo street.

- Prompt
- Temia as a regal ethereal goddess, draped in flowing silk gowns, floating above a sea of glowing lotus flowers in a celestial dreamscape.

- Prompt
- A rustic oil painting of Temia, a rugged mountain climber in vintage gear, resting beside a crackling campfire under a vast Milky Way galaxy.
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 Temia to invoke the concept.
Samples
"A cinematic close-up of Temia, a futuristic cyborg with iridescent plating, standing amidst the neon-drenched rain of a cyberpunk Tokyo street."
"Temia as a regal ethereal goddess, draped in flowing silk gowns, floating above a sea of glowing lotus flowers in a celestial dreamscape."
"A rustic oil painting of Temia, a rugged mountain climber in vintage gear, resting beside a crackling campfire under a vast Milky Way galaxy."
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("temdah/krea2-temia")
image = pipe("A cinematic close-up of Temia, a futuristic cyborg with iridescent plating, standing amidst the neon-drenched rain of a cyberpunk Tokyo street.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for temdah/krea2-temia
Base model
krea/Krea-2-Raw

