3d-icon-sdxl-lora / .ipynb_checkpoints /README-checkpoint.md
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metadata
tags:
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
  - text-to-image
  - diffusers
  - lora
  - template:sd-lora
widget:
  - text: a TOK icon of an astronaut riding a horse, in the style of TOK
    output:
      url: image_0.png
  - text: a TOK icon of an astronaut riding a horse, in the style of TOK
    output:
      url: image_1.png
  - text: a TOK icon of an astronaut riding a horse, in the style of TOK
    output:
      url: image_2.png
  - text: a TOK icon of an astronaut riding a horse, in the style of TOK
    output:
      url: image_3.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: 3d icon in the style of TOK
license: openrail++

SDXL LoRA DreamBooth - 3d-icon-sdxl-lora

Prompt
a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>
Prompt
a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>
Prompt
a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>
Prompt
a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>

Model description

These are 3d-icon-sdxl-lora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

Download model

Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('3d-icon-sdxl-lora', weight_name='pytorch_lora_weights.safetensors')

image = pipeline('a TOK icon of an astronaut riding a horse, in the style of TOK').images[0]

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

Trigger words

You should use 3d icon in the style of TOK to trigger the image generation.

Details

All Files & versions.

The weights were trained using 🧨 diffusers Advanced Dreambooth Training Script.

LoRA for the text encoder was enabled. False.

Pivotal tuning was enabled: False.

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