Instructions to use aimalias/ec4m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/ec4m 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/ec4m") prompt = "A cinematic shot of an EC4M woman wearing bioluminescent armor, standing amidst a floating neon jungle on a distant alien planet." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ aimalias/ec4m

- Prompt
- A cinematic shot of an EC4M woman wearing bioluminescent armor, standing amidst a floating neon jungle on a distant alien planet.

- Prompt
- A nostalgic 1950s oil painting of an EC4M woman reading a leather-bound book in a cozy, sun-drenched library filled with dust motes.

- Prompt
- A high-fashion editorial photo of an EC4M woman draped in iridescent silk, posing against the stark, brutalist concrete architecture of a futuristic city.
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 EC4M woman to invoke the concept.
Samples
"A cinematic shot of an EC4M woman wearing bioluminescent armor, standing amidst a floating neon jungle on a distant alien planet."
"A nostalgic 1950s oil painting of an EC4M woman reading a leather-bound book in a cozy, sun-drenched library filled with dust motes."
"A high-fashion editorial photo of an EC4M woman draped in iridescent silk, posing against the stark, brutalist concrete architecture of a futuristic city."
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/ec4m")
image = pipe("A cinematic shot of an EC4M woman wearing bioluminescent armor, standing amidst a floating neon jungle on a distant alien planet.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for aimalias/ec4m
Base model
krea/Krea-2-Raw

