How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Norod78/but-the-old-gods-are-rising-flux")

prompt = "Batman is having a bath but the old gods are rising"
image = pipe(prompt).images[0]

But the old gods are rising [FLUX]

Prompt
Batman is having a bath but the old gods are rising
Prompt
A muppet on the Muppet Show but the old gods are rising
Prompt
A photo of a Death's-head hawkmoth but the old gods are rising

(CivitAI)

Model description

It's just like your regular prompt "but the old gods are rising" in addition

An attempt to mimic this SDXL LoRA

Trigger words

You should use but the old gods are rising to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Norod78/but-the-old-gods-are-rising-flux', weight_name='But_the_old_gods_are_rising_FLUX-000004.safetensors')
image = pipeline('A photo of a Death's-head hawkmoth but the old gods are rising').images[0]

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

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