Instructions to use weyr/shae-face-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use weyr/shae-face-lora 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("weyr/shae-face-lora") prompt = "A cinematic wide shot of [character-shae] wearing ornate golden armor, standing atop a floating crystal island amidst a nebula of swirling violet clouds." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ weyr/shae-face-lora

- Prompt
- A cinematic wide shot of [character-shae] wearing ornate golden armor, standing atop a floating crystal island amidst a nebula of swirling violet clouds.

- Prompt
- A cozy, detailed close-up of [character-shae] reading an ancient leather-bound grimoire in a rain-streaked cyberpunk library filled with neon holographic displays.

- Prompt
- An action-packed scene of [character-shae] diving through a vibrant coral reef, surrounded by bioluminescent jellyfish and shimmering schools of tropical fish.
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 [character-shae] to invoke the concept.
Samples
"A cinematic wide shot of [character-shae] wearing ornate golden armor, standing atop a floating crystal island amidst a nebula of swirling violet clouds."
"A cozy, detailed close-up of [character-shae] reading an ancient leather-bound grimoire in a rain-streaked cyberpunk library filled with neon holographic displays."
"An action-packed scene of [character-shae] diving through a vibrant coral reef, surrounded by bioluminescent jellyfish and shimmering schools of tropical fish."
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("weyr/shae-face-lora")
image = pipe("A cinematic wide shot of [character-shae] wearing ornate golden armor, standing atop a floating crystal island amidst a nebula of swirling violet clouds.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for weyr/shae-face-lora
Base model
krea/Krea-2-Raw

