man-ohwx / 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 photo of <s0><s1> a man wearing a hat and a woman wearing a hat
    output:
      url: image-0.png
  - text: A photo of <s0><s1> a man in a car taking a selfie
    output:
      url: image-1.png
  - text: A photo of <s0><s1> a man in a car taking a selfie
    output:
      url: image-2.png
  - text: A photo of <s0><s1> a man sitting in the back seat of a car
    output:
      url: image-3.png
  - text: A photo of <s0><s1> a man in a car taking a selfie
    output:
      url: image-4.png
  - text: A photo of <s0><s1> a smiling man in a white shirt in front of a window
    output:
      url: image-5.png
  - text: A photo of <s0><s1> a man with a mustache smiles for the camera
    output:
      url: image-6.png
  - text: A photo of <s0><s1> a smiling man in a blue shirt
    output:
      url: image-7.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: A photo of <s0><s1>
license: openrail++

SDXL LoRA DreamBooth - eyesss/man-ohwx

Prompt
A photo of <s0><s1> a man wearing a hat and a woman wearing a hat
Prompt
A photo of <s0><s1> a man in a car taking a selfie
Prompt
A photo of <s0><s1> a man in a car taking a selfie
Prompt
A photo of <s0><s1> a man sitting in the back seat of a car
Prompt
A photo of <s0><s1> a man in a car taking a selfie
Prompt
A photo of <s0><s1> a smiling man in a white shirt in front of a window
Prompt
A photo of <s0><s1> a man with a mustache smiles for the camera
Prompt
A photo of <s0><s1> a smiling man in a blue shirt

Model description

These are eyesss/man-ohwx 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 man-ohwx.safetensors here 💾.
    • Place it on your models/Lora folder.
    • On AUTOMATIC1111, load the LoRA by adding <lora:man-ohwx:1> to your prompt. On ComfyUI just load it as a regular LoRA.
  • Embeddings: download man-ohwx_emb.safetensors here 💾.
    • Place it on it on your embeddings folder
    • Use it by adding man-ohwx_emb to your prompt. For example, A photo of man-ohwx_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('eyesss/man-ohwx', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='eyesss/man-ohwx', filename='man-ohwx_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('A photo 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.