Instructions to use lloydchristmas1231/abgal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lloydchristmas1231/abgal 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("lloydchristmas1231/abgal") prompt = "A cinematic shot of a majestic abgal carved from translucent emerald, floating in the center of a futuristic neon cyberpunk city during a rainstorm." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Krea 2 LoRA โ lloydchristmas1231/abgal

- Prompt
- A cinematic shot of a majestic abgal carved from translucent emerald, floating in the center of a futuristic neon cyberpunk city during a rainstorm.

- Prompt
- A whimsical illustration of a tiny, fluffy abgal wearing a top hat, sipping tea in a cozy library filled with floating ancient scrolls.

- Prompt
- A hyper-realistic wide shot of a colossal stone abgal emerging from a swirling desert sandstorm under a blood-red lunar eclipse.
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 abgal to invoke the concept.
Samples
"A cinematic shot of a majestic abgal carved from translucent emerald, floating in the center of a futuristic neon cyberpunk city during a rainstorm."
"A whimsical illustration of a tiny, fluffy abgal wearing a top hat, sipping tea in a cozy library filled with floating ancient scrolls."
"A hyper-realistic wide shot of a colossal stone abgal emerging from a swirling desert sandstorm under a blood-red lunar eclipse."
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("lloydchristmas1231/abgal")
image = pipe("A cinematic shot of a majestic abgal carved from translucent emerald, floating in the center of a futuristic neon cyberpunk city during a rainstorm.", num_inference_steps=8, guidance_scale=0.0).images[0]
image.save("output.png")
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Model tree for lloydchristmas1231/abgal
Base model
krea/Krea-2-Raw

