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Animexl

Prompt
animexl a majestic celestial dragon flying through a star-filled sky, its scales shimmering with a mix of gold and silver, glowing runes etched along its body, surrounded by glowing nebula clouds and twinkling stars, a sense of vastness and divinity, hyper-detailed scales and cosmic background
Prompt
animexl an ethereal elf princess with glowing silver hair, wearing a flowing emerald gown adorned with golden patterns, sitting by a glowing blue lake in an enchanted forest, surrounded by bioluminescent flowers, glowing fireflies, and ancient stone ruins covered in moss, soft moonlight shining through the mist, ultra-detailed face and clothing texture
Prompt
animexl a lone wanderer in a torn black cloak, standing in a desolate wasteland with crumbling skyscrapers in the distance, carrying a glowing energy sword, the sky filled with ominous red clouds, lightning striking in the distance, detailed cracks in the dry ground, atmospheric perspective with dusty air and a sense of mystery"
Prompt
animexl a futuristic cyberpunk samurai standing under neon lights, wearing a black and red glowing armor, wielding a plasma katana, holographic cityscape in the background with flying cars and holograms, cinematic lighting, rain reflections on the ground
Prompt
animexl a serene night sky with scattered clouds glowing in soft shades of purple and pink, illuminated by the full moon casting a gentle white light, twinkling stars scattered across the deep indigo sky, silhouette of tree branches with delicate leaves framing the scene, a peaceful and tranquil atmosphere, cinematic composition, ultra-detailed textures, dreamy and calming aesthetic

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use animexl to trigger the image generation.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Nishit2411/AnimeXL', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

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