# Kalacharam

Aim of this model to be a good base model for India Culture things, currently its being trained on south indian models. There are few things i planned to train tamil architecture, foods, dresses etc.

**NOTE:** Those things mentioned above are my visionary i might train things or might not, if any one interested in it. feel free to reuse those models

### Model Training Details

- **Base Model:** ChillOutMix
- **Training Method:** FineTune
- **Steps:** 5000
- **Token:** TamilPonnu (Base)
- **Dataset:** 1500Images

## Example
<img style="display:inline;margin:0;padding:0;" src="https://huggingface.co/Kukubuy/Kalacharam/resolve/main/Sample_Images/SampleImage_1.png" width="45%"/>
<img style="display:inline;margin:0;padding:0;" src="https://huggingface.co/Kukubuy/Kalacharam/resolve/main/Sample_Images/SampleImage_2.png" width="45%"/>

<details><summary><big><b>Prompts</b></big></summary>

```yaml
(masterpiece, 1girl, solo, ultra-detailed:1.2), most beautiful girl in the world, (photography:1.2), photorealistic, sidelighting, very detailed image, best quality, (tamilponnu), (black dress + saree:1.2), realistic, black hair, Jewlery, earrings, smile, looking at viewer, saree, simple background AND white background, crystal eyes, black eye, long hair, wide shot, portrait, art by midjourney, front view
Negative prompt: lowres, ((bad anatomy)), ((bad hands)), text, missing finger, extra digits, fewer digits, blurry, ((mutated hands and fingers)), (poorly drawn face), ((mutation)), ((deformed face)), (ugly), ((bad proportions)), ((extra limbs)), extra face, (double head), (extra head), ((extra feet)), monster, logo, cropped, worst quality, low quality, normal quality, jpeg, humpbacked, long body, long neck, ((jpeg artifacts)), (bindi:1.2)
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 1125363210, Size: 512x768, Model: Kalacharam_Base, Denoising strength: 0.55, Clip skip: 2, ENSD: 31337, Hires upscale: 1.5, Hires upscaler: Latent
```

```yaml
(masterpiece, 1girl, solo, ultra-detailed:1.2), most beautiful girl in the world, (photography:1.2), photorealistic, sidelighting, very detailed image, best quality, (tamilponnu), (fashion, skirt:1.2), realistic, black hair, earrings, smile, looking at viewer, saree, simple background AND white background, crystal eyes, black eye, long hair, wide shot, portrait, art by midjourney, from front
Negative prompt: lowres, ((bad anatomy)), ((bad hands)), text, missing finger, extra digits, fewer digits, blurry, ((mutated hands and fingers)), (poorly drawn face), ((mutation)), ((deformed face)), (ugly), ((bad proportions)), ((extra limbs)), extra face, (double head), (extra head), ((extra feet)), monster, logo, cropped, worst quality, low quality, normal quality, jpeg, humpbacked, long body, long neck, ((jpeg artifacts)), (bindi:1.2)
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 2281761033, Size: 512x768, Model: Kalacharam_Base, Denoising strength: 0.55, Clip skip: 2, ENSD: 31337, Hires upscale: 1.5, Hires upscaler: Latent
```

{"language": ["en"], "license": "openrail", "tags": ["text-image"]}
text-image en license:openrail region:us
TAGS
#text-image #en #license-openrail #region-us 

# Kalacharam

Aim of this model to be a good base model for India Culture things, currently its being trained on south indian models. There are few things i planned to train tamil architecture, foods, dresses etc.

NOTE: Those things mentioned above are my visionary i might train things or might not, if any one interested in it. feel free to reuse those models

### Model Training Details

- Base Model: ChillOutMix
- Training Method: FineTune
- Steps: 5000
- Token: TamilPonnu (Base)
- Dataset: 1500Images

## Example
<img style="display:inline;margin:0;padding:0;" src="URL width="45%"/>
<img style="display:inline;margin:0;padding:0;" src="URL width="45%"/>

<details><summary><big><b>Prompts</b></big></summary>





# Kalacharam

Aim of this model to be a good base model for India Culture things, currently its being trained on south indian models. There are few things i planned to train tamil architecture, foods, dresses etc.

NOTE: Those things mentioned above are my visionary i might train things or might not, if any one interested in it. feel free to reuse those models ### Model Training Details

- Base Model: ChillOutMix
- Training Method: FineTune
- Steps: 5000
- Token: TamilPonnu (Base)
- Dataset: 1500Images ## Example
<img style="display:inline;margin:0;padding:0;" src="URL width="45%"/>
<img style="display:inline;margin:0;padding:0;" src="URL width="45%"/>

<details><summary><big><b>Prompts</b></big></summary>
TAGS
#text-image #en #license-openrail #region-us 
 # Kalacharam

Aim of this model to be a good base model for India Culture things, currently its being trained on south indian models. There are few things i planned to train tamil architecture, foods, dresses etc.

NOTE: Those things mentioned above are my visionary i might train things or might not, if any one interested in it. feel free to reuse those models ### Model Training Details

- Base Model: ChillOutMix
- Training Method: FineTune
- Steps: 5000
- Token: TamilPonnu (Base)
- Dataset: 1500Images ## Example
<img style="display:inline;margin:0;padding:0;" src="URL width="45%"/>
<img style="display:inline;margin:0;padding:0;" src="URL width="45%"/>

<details><summary><big><b>Prompts</b></big></summary>
TAGS
#text-image #en #license-openrail #region-us 
# Kalacharam

Aim of this model to be a good base model for India Culture things, currently its being trained on south indian models. There are few things i planned to train tamil architecture, foods, dresses etc.

NOTE: Those things mentioned above are my visionary i might train things or might not, if any one interested in it. feel free to reuse those models### Model Training Details

- Base Model: ChillOutMix
- Training Method: FineTune
- Steps: 5000
- Token: TamilPonnu (Base)
- Dataset: 1500Images## Example
<img style="display:inline;margin:0;padding:0;" src="URL width="45%"/>
<img style="display:inline;margin:0;padding:0;" src="URL width="45%"/>

<details><summary><big><b>Prompts</b></big></summary>