Instructions to use jghkcktfkytf/imogen-poots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jghkcktfkytf/imogen-poots 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("jghkcktfkytf/imogen-poots") prompt = "A cinematic close-up of Imogen Poots as a cyberpunk hacker, illuminated by flickering neon violet lights and holographic screens in a rainy Tokyo alleyway." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA β jghkcktfkytf/imogen-poots

- Prompt
- A cinematic close-up of Imogen Poots as a cyberpunk hacker, illuminated by flickering neon violet lights and holographic screens in a rainy Tokyo alleyway.

- Prompt
- Imogen Poots dressed in an ornate 19th-century Victorian gown, standing in a sun-drenched wildflower meadow with a soft-focus oil painting aesthetic.

- Prompt
- A high-fashion editorial shot of Imogen Poots wearing avant-garde metallic armor, posing amidst the stark, minimalist white architecture of a futuristic lunar colony.
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 Imogen Poots to invoke the concept.
Samples
"A cinematic close-up of Imogen Poots as a cyberpunk hacker, illuminated by flickering neon violet lights and holographic screens in a rainy Tokyo alleyway."
"Imogen Poots dressed in an ornate 19th-century Victorian gown, standing in a sun-drenched wildflower meadow with a soft-focus oil painting aesthetic."
"A high-fashion editorial shot of Imogen Poots wearing avant-garde metallic armor, posing amidst the stark, minimalist white architecture of a futuristic lunar colony."
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("jghkcktfkytf/imogen-poots")
image = pipe("A cinematic close-up of Imogen Poots as a cyberpunk hacker, illuminated by flickering neon violet lights and holographic screens in a rainy Tokyo alleyway.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for jghkcktfkytf/imogen-poots
Base model
krea/Krea-2-Raw

