multimodalart / handpaintedbrazil

huggingface.co
Total runs: 36
24-hour runs: 0
7-day runs: 7
30-day runs: -25
Model's Last Updated: December 26 2023
text-to-image

Introduction of handpaintedbrazil

Model Details of handpaintedbrazil

SDXL LoRA DreamBooth - multimodalart/handpaintedbrazil

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Model description
These are multimodalart/handpaintedbrazil LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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

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('multimodalart/handpaintedbrazil', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='multimodalart/handpaintedbrazil', filename="embeddings.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

Download model
Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
  • Download the LoRA *.safetensors here . Rename it and place it on your Lora folder.
  • Download the text embeddings *.safetensors here . Rename it and place it on it on your embeddings folder.

All Files & versions .

Details

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.

Runs of multimodalart handpaintedbrazil on huggingface.co

36
Total runs
0
24-hour runs
13
3-day runs
7
7-day runs
-25
30-day runs

More Information About handpaintedbrazil huggingface.co Model

More handpaintedbrazil license Visit here:

https://choosealicense.com/licenses/openrail++

handpaintedbrazil huggingface.co

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multimodalart handpaintedbrazil online free url in huggingface.co:

https://huggingface.co/multimodalart/handpaintedbrazil

handpaintedbrazil install

handpaintedbrazil is an open source model from GitHub that offers a free installation service, and any user can find handpaintedbrazil on GitHub to install. At the same time, huggingface.co provides the effect of handpaintedbrazil install, users can directly use handpaintedbrazil installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

handpaintedbrazil install url in huggingface.co:

https://huggingface.co/multimodalart/handpaintedbrazil

Url of handpaintedbrazil

Provider of handpaintedbrazil huggingface.co

multimodalart
ORGANIZATIONS

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huggingface.co

Total runs: 41
Run Growth: -18
Growth Rate: -43.90%
Updated:July 10 2025