Total runs:
58.2K
Run Growth:
14.0K
Growth Rate:
24.11%
Sponsored by
APIMaster
multimodalart / medieval-animals-lora
Model's Last Updated: January 03 2024
text-to-image
Introduction of medieval-animals-lora
Model Details of medieval-animals-lora
SDXL LoRA DreamBooth - multimodalart/medieval-animals-lora
- Prompt
- a drawing of a woman and a demon with a blanket in the style of <s0><s1>
- Prompt
- a bear playing a flute in a medieval manuscript in the style of <s0><s1>
- Prompt
- Prompt
- Prompt
- a drawing of a mouse playing with a wheel in the style of <s0><s1>
- Prompt
- a cat wearing a crown sits on a throne in the style of <s0><s1>
- Prompt
- a horse with a tree and a bird in the middle of the page in the style of <s0><s1>
- Prompt
- a monkey with a pipe sitting on the ground in the style of <s0><s1>
- Prompt
- a small dragon with wings and a tail in the style of <s0><s1>
- Prompt
- a snail is sitting on a branch with a snake in the style of <s0><s1>
- Prompt
- a medieval illustration of a man eating a fish in the style of <s0><s1>
- Prompt
- a cat playing a lute in a medieval manuscript in the style of <s0><s1>
- Prompt
- a painting of a cat playing a trumpet in the style of <s0><s1>
- Prompt
- a closeup of an owl in a medieval manuscript in the style of <s0><s1>
- Prompt
- a medieval illustration of a rabbit carrying a basket in the style of <s0><s1>
- Prompt
- a medieval illustration of a dog riding a duck in the style of <s0><s1>
- Prompt
- Prompt
- a medieval illustration of a dog riding a horse in the style of <s0><s1>
- Prompt
- a cat is sitting on a green plate with flowers in the style of <s0><s1>
- Prompt
- an illustration of an owl in a medieval manuscript in the style of <s0><s1>
- Prompt
- a drawing of a hairy creature with red shoes in the style of <s0><s1>
- Prompt
- a medieval illustration of a man being attacked by a dog in the style of <s0><s1>
- Prompt
- a cat is sitting on a blue and gold background in the style of <s0><s1>
- Prompt
- an illustration of a unicorn with a horn in the style of <s0><s1>
- Prompt
- a cat playing a harp in a medieval manuscript in the style of <s0><s1>
Model description
These are multimodalart/medieval-animals-lora 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
medieval-animals-lora.safetensorshere 💾 .-
Place it on your
models/Lorafolder. -
On AUTOMATIC1111, load the LoRA by adding
<lora:medieval-animals-lora:1>to your prompt. On ComfyUI just load it as a regular LoRA .
-
Place it on your
-
Embeddings
: download
medieval-animals-lora_emb.safetensorshere 💾 .-
Place it on it on your
embeddingsfolder -
Use it by adding
medieval-animals-lora_embto your prompt. For example,in the style of medieval-animals-lora_emb(you need both the LoRA and the embeddings as they were trained together for this LoRA)
-
Place it on it on your
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-lora', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='multimodalart/medieval-animals-lora', filename='medieval-animals-lora_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.
Runs of multimodalart medieval-animals-lora on huggingface.co
80
Total runs
5
24-hour runs
5
3-day runs
15
7-day runs
42
30-day runs
More Information About medieval-animals-lora huggingface.co Model
Url of medieval-animals-lora
medieval-animals-lora huggingface.co Url
Provider of medieval-animals-lora huggingface.co
Other API from multimodalart
Updated:June 05 2026
Total runs:
7.4K
Run Growth:
-1.1K
Growth Rate:
-14.73%
Total runs:
433
Run Growth:
241
Growth Rate:
55.15%
Total runs:
240
Run Growth:
103
Growth Rate:
42.92%
Total runs:
221
Run Growth:
201
Growth Rate:
91.78%
Total runs:
207
Run Growth:
77
Growth Rate:
38.12%
Total runs:
205
Run Growth:
-37
Growth Rate:
-18.05%
Total runs:
202
Run Growth:
56
Growth Rate:
29.17%
Total runs:
191
Run Growth:
-2.1K
Growth Rate:
-1105.76%
Total runs:
120
Run Growth:
0
Growth Rate:
0.00%
Total runs:
104
Run Growth:
104
Growth Rate:
100.00%
Total runs:
102
Run Growth:
102
Growth Rate:
100.00%
Total runs:
80
Run Growth:
27
Growth Rate:
33.75%
Total runs:
64
Run Growth:
38
Growth Rate:
64.41%
Total runs:
60
Run Growth:
15
Growth Rate:
26.32%
Total runs:
54
Run Growth:
32
Growth Rate:
59.26%
Total runs:
52
Run Growth:
15
Growth Rate:
28.85%
Total runs:
50
Run Growth:
24
Growth Rate:
52.17%
Total runs:
49
Run Growth:
21
Growth Rate:
55.26%
Total runs:
49
Run Growth:
26
Growth Rate:
59.09%
Total runs:
47
Run Growth:
27
Growth Rate:
65.85%
Total runs:
46
Run Growth:
46
Growth Rate:
100.00%
Total runs:
45
Run Growth:
22
Growth Rate:
48.89%
Total runs:
45
Run Growth:
24
Growth Rate:
66.67%
Total runs:
40
Run Growth:
25
Growth Rate:
71.43%
Total runs:
39
Run Growth:
22
Growth Rate:
56.41%
Total runs:
38
Run Growth:
22
Growth Rate:
61.11%
Total runs:
37
Run Growth:
30
Growth Rate:
76.92%
Total runs:
37
Run Growth:
20
Growth Rate:
55.56%
Total runs:
36
Run Growth:
2
Growth Rate:
5.56%
Total runs:
35
Run Growth:
21
Growth Rate:
63.64%
Total runs:
35
Run Growth:
-64
Growth Rate:
-188.24%
Total runs:
35
Run Growth:
33
Growth Rate:
97.06%
Total runs:
34
Run Growth:
17
Growth Rate:
50.00%
Total runs:
31
Run Growth:
18
Growth Rate:
60.00%
Total runs:
30
Run Growth:
20
Growth Rate:
68.97%
Total runs:
29
Run Growth:
12
Growth Rate:
46.15%
Total runs:
27
Run Growth:
-16
Growth Rate:
-69.57%
Total runs:
27
Run Growth:
10
Growth Rate:
55.56%
Total runs:
26
Run Growth:
3
Growth Rate:
11.54%
Total runs:
24
Run Growth:
19
Growth Rate:
63.33%
Total runs:
24
Run Growth:
14
Growth Rate:
63.64%
Total runs:
23
Run Growth:
12
Growth Rate:
52.17%
Total runs:
23
Run Growth:
11
Growth Rate:
47.83%
Total runs:
23
Run Growth:
-1
Growth Rate:
-4.35%
Total runs:
20
Run Growth:
5
Growth Rate:
25.00%
Total runs:
20
Run Growth:
10
Growth Rate:
58.82%
Total runs:
18
Run Growth:
-4
Growth Rate:
-26.67%
Total runs:
15
Run Growth:
-3
Growth Rate:
-20.00%
Total runs:
15
Run Growth:
-28
Growth Rate:
-186.67%
Total runs:
14
Run Growth:
3
Growth Rate:
21.43%
Total runs:
14
Run Growth:
0
Growth Rate:
0.00%
Total runs:
13
Run Growth:
-13
Growth Rate:
-100.00%
Total runs:
13
Run Growth:
-8
Growth Rate:
-61.54%
Total runs:
13
Run Growth:
0
Growth Rate:
0.00%
Total runs:
13
Run Growth:
-7
Growth Rate:
-53.85%
Total runs:
12
Run Growth:
3
Growth Rate:
30.00%
Total runs:
12
Run Growth:
-1
Growth Rate:
-6.67%
Total runs:
11
Run Growth:
-8
Growth Rate:
-72.73%
Total runs:
11
Run Growth:
0
Growth Rate:
0.00%
Total runs:
11
Run Growth:
-13
Growth Rate:
-118.18%
Total runs:
11
Run Growth:
-4
Growth Rate:
-40.00%
Total runs:
11
Run Growth:
-9
Growth Rate:
-81.82%
Total runs:
10
Run Growth:
-13
Growth Rate:
-130.00%
Total runs:
10
Run Growth:
-7
Growth Rate:
-70.00%
Total runs:
9
Run Growth:
0
Growth Rate:
0.00%
Total runs:
9
Run Growth:
-3
Growth Rate:
-33.33%
Total runs:
8
Run Growth:
-17
Growth Rate:
-212.50%
Total runs:
8
Run Growth:
2
Growth Rate:
25.00%
Total runs:
8
Run Growth:
-19
Growth Rate:
-237.50%
Total runs:
8
Run Growth:
-13
Growth Rate:
-162.50%
Total runs:
8
Run Growth:
-13
Growth Rate:
-162.50%
Total runs:
7
Run Growth:
-1
Growth Rate:
-14.29%
Total runs:
7
Run Growth:
-18
Growth Rate:
-257.14%
Total runs:
7
Run Growth:
-15
Growth Rate:
-214.29%
Total runs:
6
Run Growth:
-15
Growth Rate:
-250.00%
Total runs:
6
Run Growth:
-10
Growth Rate:
-166.67%
Total runs:
5
Run Growth:
-11
Growth Rate:
-220.00%
Total runs:
5
Run Growth:
-13
Growth Rate:
-260.00%
Total runs:
5
Run Growth:
-14
Growth Rate:
-280.00%
Total runs:
5
Run Growth:
-16
Growth Rate:
-320.00%
Total runs:
5
Run Growth:
-14
Growth Rate:
-280.00%
Total runs:
5
Run Growth:
-15
Growth Rate:
-300.00%
Total runs:
5
Run Growth:
-11
Growth Rate:
-220.00%
Total runs:
5
Run Growth:
-11
Growth Rate:
-220.00%
Total runs:
4
Run Growth:
-19
Growth Rate:
-475.00%