import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("zenless-lab/sdxl-anything-xl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("dada22231/dsafsdaf")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]LoRA Model
This is a LoRA (Low-Rank Adaptation) model trained on SDXL.
Model Details
- Base Model: zenless-lab/sdxl-anything-xl
- Training Method: LoRA
- LoRA Rank: 64
- Optimizer: Prodigy
Usage
from diffusers import DiffusionPipeline
import torch
# Load pipeline
pipe = DiffusionPipeline.from_pretrained(
"zenless-lab/sdxl-anything-xl",
torch_dtype=torch.float16
).to("cuda")
# Load LoRA weights
pipe.load_lora_weights("dada22231/b426e506-75a2-4d9a-8952-22652d903752")
# Generate image
prompt = "your prompt in lora style"
image = pipe(prompt).images[0]
Training Details
- Trained with AI Toolkit
- Mixed precision: bf16
- Batch size: 12
- Downloads last month
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Model tree for dada22231/dsafsdaf
Base model
stabilityai/stable-diffusion-xl-base-1.0 Finetuned
zenless-archive/sdxl-anything-xl