multimodalart / medieval-animals

huggingface.co
Total runs: 15
24-hour runs: -6
7-day runs: -11
30-day runs: -4
Model's Last Updated: December 26 2023
text-to-image

Introduction of medieval-animals

Model Details of medieval-animals

SDXL LoRA DreamBooth - multimodalart/medieval-animals

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Model description
These are multimodalart/medieval-animals 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/medieval-animals', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='multimodalart/medieval-animals', 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 medieval-animals on huggingface.co

15
Total runs
-6
24-hour runs
-14
3-day runs
-11
7-day runs
-4
30-day runs

More Information About medieval-animals huggingface.co Model

More medieval-animals license Visit here:

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

medieval-animals huggingface.co

medieval-animals huggingface.co is an AI model on huggingface.co that provides medieval-animals's model effect (), which can be used instantly with this multimodalart medieval-animals model. huggingface.co supports a free trial of the medieval-animals model, and also provides paid use of the medieval-animals. Support call medieval-animals model through api, including Node.js, Python, http.

multimodalart medieval-animals online free

medieval-animals huggingface.co is an online trial and call api platform, which integrates medieval-animals's modeling effects, including api services, and provides a free online trial of medieval-animals, you can try medieval-animals online for free by clicking the link below.

multimodalart medieval-animals online free url in huggingface.co:

https://huggingface.co/multimodalart/medieval-animals

medieval-animals install

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

medieval-animals install url in huggingface.co:

https://huggingface.co/multimodalart/medieval-animals

Url of medieval-animals

Provider of medieval-animals huggingface.co

multimodalart
ORGANIZATIONS

Other API from multimodalart

huggingface.co

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