import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("FFusion/FFXL400", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("aegon-h/SDXL-LORA")
prompt = "your prompt "
image = pipe(prompt).images[0]SDXL-LORA
- Model creator: FFusion
- Original model: 400GB-LoraXL
Description
This repo contains files for FFusion's 400GB-LoraXL.
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Model tree for aegon-h/SDXL-LORA
Base model
diffusers/stable-diffusion-xl-base-1.0 Quantized
FFusion/FFusionXL-BASE Finetuned
FFusion/FFXL400