p3nr0s3 / README.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 circular design with red, yellow and blue triangles in the style of
      <s0><s1>
    output:
      url: image-0.png
  - text: >-
      a circular pattern with red, yellow and blue squares in the style of
      <s0><s1>
    output:
      url: image-1.png
  - text: a circular red and blue pattern in the style of <s0><s1>
    output:
      url: image-2.png
  - text: >-
      a circular design with red, yellow and blue squares in the style of
      <s0><s1>
    output:
      url: image-3.png
  - text: >-
      a circular pattern with red, yellow and blue circles in the style of
      <s0><s1>
    output:
      url: image-4.png
  - text: a red and yellow circular pattern in the style of <s0><s1>
    output:
      url: image-5.png
  - text: a circular pattern with colorful squares on it in the style of <s0><s1>
    output:
      url: image-6.png
  - text: a circular blue and white design with a pattern in the style of <s0><s1>
    output:
      url: image-7.png
  - text: >-
      a circular pattern with red, yellow and blue squares in the style of
      <s0><s1>
    output:
      url: image-8.png
  - text: a circular pattern with red and blue dots in the style of <s0><s1>
    output:
      url: image-9.png
  - text: a circular pattern with red and yellow dots in the style of <s0><s1>
    output:
      url: image-10.png
  - text: >-
      a blue and red ball with a yellow and blue pattern in the style of
      <s0><s1>
    output:
      url: image-11.png
  - text: a circular pattern with yellow and red squares in the style of <s0><s1>
    output:
      url: image-12.png
  - text: a circular pattern with red and yellow dots in the style of <s0><s1>
    output:
      url: image-13.png
  - text: a red, yellow and blue ball with a square pattern in the style of <s0><s1>
    output:
      url: image-14.png
  - text: >-
      a circular pattern with red, yellow and blue squares in the style of
      <s0><s1>
    output:
      url: image-15.png
  - text: >-
      a circular pattern with many different colored balls in the style of
      <s0><s1>
    output:
      url: image-16.png
  - text: >-
      a circular pattern with many different colored balls in the style of
      <s0><s1>
    output:
      url: image-17.png
  - text: a circular pattern with red and yellow squares in the style of <s0><s1>
    output:
      url: image-18.png
  - text: a colorful, geometric pattern in a circle in the style of <s0><s1>
    output:
      url: image-19.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: in the style of <s0><s1>
license: openrail++

SDXL LoRA DreamBooth - lfischbe/p3nr0s3

Prompt
a circular design with red, yellow and blue triangles in the style of <s0><s1>

Prompt
a circular pattern with red, yellow and blue squares in the style of <s0><s1>

Prompt
a circular red and blue pattern in the style of <s0><s1>

Prompt
a circular design with red, yellow and blue squares in the style of <s0><s1>

Prompt
a circular pattern with red, yellow and blue circles in the style of <s0><s1>

Prompt
a red and yellow circular pattern in the style of <s0><s1>

Prompt
a circular pattern with colorful squares on it in the style of <s0><s1>

Prompt
a circular blue and white design with a pattern in the style of <s0><s1>

Prompt
a circular pattern with red and blue dots in the style of <s0><s1>

Prompt
a circular pattern with red and yellow dots in the style of <s0><s1>

Prompt
a blue and red ball with a yellow and blue pattern in the style of <s0><s1>

Prompt
a circular pattern with yellow and red squares in the style of <s0><s1>

Prompt
a red, yellow and blue ball with a square pattern in the style of <s0><s1>

Prompt
a circular pattern with many different colored balls in the style of <s0><s1>

Prompt
a circular pattern with red and yellow squares in the style of <s0><s1>

Prompt
a colorful, geometric pattern in a circle in the style of <s0><s1>

Model description

These are lfischbe/p3nr0s3 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

LoRA: download p3nr0s3.safetensors here 💾.
- Place it on your models/Lora folder.
- On AUTOMATIC1111, load the LoRA by adding <lora:p3nr0s3:1> to your prompt. On ComfyUI just load it as a regular LoRA.
Embeddings: download p3nr0s3_emb.safetensors here 💾.
- Place it on it on your embeddings folder
- Use it by adding p3nr0s3_emb to your prompt. For example, in the style of p3nr0s3_emb (you need both the LoRA and the embeddings as they were trained together for this LoRA)

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch
from huggingface_hub import hf_hub_download
from safetensors.torch import load_file
        
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('lfischbe/p3nr0s3', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='lfischbe/p3nr0s3', filename='p3nr0s3_emb.safetensors' repo_type="model")
state_dict = load_file(embedding_path)
pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
        
image = pipeline('in the style of <s0><s1>').images[0]

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

Trigger words

To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:

to trigger concept TOK → use <s0><s1> in your prompt

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: True.

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