Edit model card

LoRA text2image fine-tuning - johnowhitaker/lora_pn03_036sim

These are LoRA adaption weights for playgroundai/playground-v2-1024px-aesthetic. The weights were fine-tuned on a custom dataset. img_0 img_1

Usage:

import torch
from diffusers import DiffusionPipeline
device = "cuda:7"
pipe = DiffusionPipeline.from_pretrained(
    'playgroundai/playground-v2-1024px-aesthetic',
    torch_dtype=torch.float16,
    add_watermarker=False,
    variant="fp16"
)
pipe.to(device)
pipe.load_lora_weights('johnowhitaker/lora_pn03_036sim')
pipe("An owl wearing a tophat and tie, studio lighting, black background").images[0]

LoRA for the text encoder was enabled: False.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

Downloads last month
15
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for johnowhitaker/lora_pn03_036sim

Adapter
(4)
this model