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SDXL LoRA DreamBooth - jhiggs/tim-robinson

Prompt
A photo of <s0><s1> itysl a man in a yellow shirt and black jacket
Prompt
A photo of <s0><s1> itysl a man wearing a black jacket
Prompt
A photo of <s0><s1> itysl a man in a red suit and tie is standing in front of a colorful background
Prompt
A photo of <s0><s1> itysl a man with a white shirt and a black jacket
Prompt
A photo of <s0><s1> itysl a man in a blue shirt sitting at a desk
Prompt
A photo of <s0><s1> itysl a man with a tie on
Prompt
A photo of <s0><s1> itysl a man with a mustache
Prompt
A photo of <s0><s1> itysl a man in a checkered shirt holding a red ball
Prompt
A photo of <s0><s1> itysl a man holding a box of wine in front of him
Prompt
A photo of <s0><s1> itysl a man sitting at a desk
Prompt
A photo of <s0><s1> itysl a man sitting at a desk
Prompt
A photo of <s0><s1> itysl a man with a blue shirt
Prompt
A photo of <s0><s1> itysl a man wearing a white shirt
Prompt
A photo of <s0><s1> itysl a man with a smile on his face
Prompt
A photo of <s0><s1> itysl a man in a plaid shirt standing in front of a wall
Prompt
A photo of <s0><s1> itysl a man holding his head with both hands
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A photo of <s0><s1> itysl a man with a sad face looking at something
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A photo of <s0><s1> itysl a man in a suit and tie making a gesture
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A photo of <s0><s1> itysl a man in a car
Prompt
A photo of <s0><s1> itysl a man in a black jacket and white shirt standing in an office
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A photo of <s0><s1> itysl a man in a black jacket and blue shirt smiling
Prompt
A photo of <s0><s1> itysl a man in glasses and a polo shirt
Prompt
A photo of <s0><s1> itysl a man in a jacket and a tie
Prompt
A photo of <s0><s1> itysl a man in a suit standing in front of a window
Prompt
A photo of <s0><s1> itysl a man holding a pizza

Model description

These are jhiggs/tim-robinson 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
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('jhiggs/tim-robinson', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='jhiggs/tim-robinson', filename='tim-robinson_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> itysl').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.

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