Total runs:
3.1K
Run Growth:
-555
Growth Rate:
-17.53%
Sponsored by
Agentkit
ayousanz / kiritan
Model's Last Updated: January 03 2024
text-to-image
Introduction of kiritan
Model Details of kiritan
SDXL LoRA DreamBooth - ayousanz/kiritan
- Prompt
- A <s0><s1> character
- Prompt
- A <s0><s1> character
- Prompt
- A <s0><s1> character
- Prompt
- A <s0><s1> character
- Prompt
- A <s0><s1> character
- Prompt
- A <s0><s1> character
- Prompt
- A <s0><s1> character
- Prompt
- A <s0><s1> character
- Prompt
- A <s0><s1> character
Model description
These are ayousanz/kiritan 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
kiritan.safetensorshere 💾 .-
Place it on your
models/Lorafolder. -
On AUTOMATIC1111, load the LoRA by adding
<lora:kiritan:1>to your prompt. On ComfyUI just load it as a regular LoRA .
-
Place it on your
-
Embeddings
: download
kiritan_emb.safetensorshere 💾 .-
Place it on it on your
embeddingsfolder -
Use it by adding
kiritan_embto your prompt. For example,A kiritan_emb character(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('ayousanz/kiritan', weight_name='pytorch_lora_weights.safetensors')
embedding_path = hf_hub_download(repo_id='ayousanz/kiritan', filename='kiritan_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 <s0><s1> character').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 ayousanz kiritan on huggingface.co
21
Total runs
1
24-hour runs
3
3-day runs
6
7-day runs
10
30-day runs
More Information About kiritan huggingface.co Model
Url of kiritan
kiritan huggingface.co Url
Provider of kiritan huggingface.co
Other API from ayousanz
Updated:June 13 2026
Total runs:
861
Run Growth:
-727
Growth Rate:
-84.24%
Total runs:
653
Run Growth:
607
Growth Rate:
98.06%
Total runs:
181
Run Growth:
52
Growth Rate:
29.21%
Total runs:
102
Run Growth:
-69
Growth Rate:
-69.00%
Total runs:
43
Run Growth:
36
Growth Rate:
87.80%
Total runs:
42
Run Growth:
25
Growth Rate:
65.79%
Total runs:
39
Run Growth:
27
Growth Rate:
72.97%
Total runs:
37
Run Growth:
30
Growth Rate:
85.71%
Total runs:
22
Run Growth:
4
Growth Rate:
19.05%
Total runs:
19
Run Growth:
0
Growth Rate:
0.00%
Total runs:
17
Run Growth:
8
Growth Rate:
47.06%
Total runs:
16
Run Growth:
4
Growth Rate:
26.67%
Total runs:
15
Run Growth:
0
Growth Rate:
0.00%
Total runs:
15
Run Growth:
-2
Growth Rate:
-14.29%
Total runs:
11
Run Growth:
0
Growth Rate:
0.00%
Total runs:
11
Run Growth:
-2
Growth Rate:
-22.22%
Total runs:
8
Run Growth:
5
Growth Rate:
62.50%
Total runs:
6
Run Growth:
2
Growth Rate:
33.33%
Total runs:
5
Run Growth:
3
Growth Rate:
60.00%
Total runs:
4
Run Growth:
0
Growth Rate:
0.00%
Total runs:
4
Run Growth:
1
Growth Rate:
33.33%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%