# Anmokomergetest1

Anmokomergetest1 is a **merged** stable diffusion model specializes in **anime**, and can generate **vivid** and **detailed** also **wide range** anime pictures in **high quality** even with **simple descriptions**.  
It is an authorized copy of **@路费不够 private model** in a Chinese AI community **NovelAI 中文频道**, and merged from 3 models: Anything-V3.0(Linaqruf), momoko-e(anonymous), mergetest1(another private model from the community).  
Better performace at **1k original resolution**, with **Hires.fix** it can produce **larger pictures** with more logical structures.  
**Provide in 2 versions**, uncompressed checkpoint and compressed safetensors. The **CKPT** needs to work with individual VAE or it wouldn't vivid, **better for merging**, and the **safetensors** has baked in VAE, **better for generating pictures**.

**No commercial usage!**


# Preview

*Hatsune Miku, upper body*  
![13261-2902195416.png](https://s3.amazonaws.com/moonup/production/uploads/1675504779608-6384c33038f4aec99c4a7483.png)  
*Kagamine Rin, upper body*  
![13260-3216884448.png](https://s3.amazonaws.com/moonup/production/uploads/1675504855154-6384c33038f4aec99c4a7483.png)  
*Hakurei Reimu, upper body*  
![13262-1302540835.png](https://s3.amazonaws.com/moonup/production/uploads/1675504912618-6384c33038f4aec99c4a7483.png)  
*Tohsaka Rin, upper body*  
![13273-967718540.png](https://s3.amazonaws.com/moonup/production/uploads/1675504961188-6384c33038f4aec99c4a7483.png)  
*Misaka Mikoto, upper body*  
![13268-1088153595.png](https://s3.amazonaws.com/moonup/production/uploads/1675505006790-6384c33038f4aec99c4a7483.png)  
*Yuuki Asuna, upper body*  
![13266-2752671155.png](https://s3.amazonaws.com/moonup/production/uploads/1675505048152-6384c33038f4aec99c4a7483.png)


# Usage

Use as normal stable diffusion model package v1.x, no external yaml config is needed.  
**Recommand settings: Steps: 12-28, Sampler: DPM++ SDE Karras, CFG scale: 5-11, Resolution: 1024x1024**


# Tags

Positives, less is more. Negatives, less is more, too.  
**Recommand Positives for Quality Control:** *masterpiece, best quality* The other prompts as you like.  
**Recommand Negatives:** *lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artists name*


# Bias

**Low quality at too low or too high resolutions!!!**  
Bad eyes at low resolutions. Malformed limbs often appear. Training set Contain copyright images.

# Formula

**Round1** Anything-V3.0(Linaqruf)+momoko-e(anonymous) sum rate0.25  
**Round2** ()+mergetest1(Private, from a Chinese AI community NovelAI 中文频道) sum rate0.5  
Get Anmokomergetest1.ckpt, which better for further merges.  
After baked in vae-ft-mse-840000-ema-pruned(StabilityAI) VAE, pruned ema, compressed to FP16, get Anmokomergetest1.safetensors. Better for generate images.
{"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "diffusers", "tags": ["art"], "pipeline_tag": "text-to-image"}
diffusers art text-to-image en license:cc-by-nc-4.0 endpoints_compatible diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #art #text-to-image #en #license-cc-by-nc-4.0 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 

# Anmokomergetest1

Anmokomergetest1 is a merged stable diffusion model specializes in anime, and can generate vivid and detailed also wide range anime pictures in high quality even with simple descriptions.  
It is an authorized copy of @路费不够 private model in a Chinese AI community NovelAI 中文频道, and merged from 3 models: Anything-V3.0(Linaqruf), momoko-e(anonymous), mergetest1(another private model from the community).  
Better performace at 1k original resolution, with URL it can produce larger pictures with more logical structures.  
Provide in 2 versions, uncompressed checkpoint and compressed safetensors. The CKPT needs to work with individual VAE or it wouldn't vivid, better for merging, and the safetensors has baked in VAE, better for generating pictures.

No commercial usage!


# Preview

*Hatsune Miku, upper body*  
!URL  
*Kagamine Rin, upper body*  
!URL  
*Hakurei Reimu, upper body*  
!URL  
*Tohsaka Rin, upper body*  
!URL  
*Misaka Mikoto, upper body*  
!URL  
*Yuuki Asuna, upper body*  
!URL


# Usage

Use as normal stable diffusion model package v1.x, no external yaml config is needed.  
Recommand settings: Steps: 12-28, Sampler: DPM++ SDE Karras, CFG scale: 5-11, Resolution: 1024x1024


# Tags

Positives, less is more. Negatives, less is more, too.  
Recommand Positives for Quality Control: *masterpiece, best quality* The other prompts as you like.  
Recommand Negatives: *lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artists name*


# Bias

Low quality at too low or too high resolutions!!!  
Bad eyes at low resolutions. Malformed limbs often appear. Training set Contain copyright images.

# Formula

Round1 Anything-V3.0(Linaqruf)+momoko-e(anonymous) sum rate0.25  
Round2 ()+mergetest1(Private, from a Chinese AI community NovelAI 中文频道) sum rate0.5  
Get URL, which better for further merges.  
After baked in vae-ft-mse-840000-ema-pruned(StabilityAI) VAE, pruned ema, compressed to FP16, get Anmokomergetest1.safetensors. Better for generate images.
# Anmokomergetest1

Anmokomergetest1 is a merged stable diffusion model specializes in anime, and can generate vivid and detailed also wide range anime pictures in high quality even with simple descriptions.  
It is an authorized copy of @路费不够 private model in a Chinese AI community NovelAI 中文频道, and merged from 3 models: Anything-V3.0(Linaqruf), momoko-e(anonymous), mergetest1(another private model from the community).  
Better performace at 1k original resolution, with URL it can produce larger pictures with more logical structures.  
Provide in 2 versions, uncompressed checkpoint and compressed safetensors. The CKPT needs to work with individual VAE or it wouldn't vivid, better for merging, and the safetensors has baked in VAE, better for generating pictures.

No commercial usage! # Preview

*Hatsune Miku, upper body*  
!URL  
*Kagamine Rin, upper body*  
!URL  
*Hakurei Reimu, upper body*  
!URL  
*Tohsaka Rin, upper body*  
!URL  
*Misaka Mikoto, upper body*  
!URL  
*Yuuki Asuna, upper body*  
!URL # Usage

Use as normal stable diffusion model package v1.x, no external yaml config is needed.  
Recommand settings: Steps: 12-28, Sampler: DPM++ SDE Karras, CFG scale: 5-11, Resolution: 1024x1024 # Tags

Positives, less is more. Negatives, less is more, too.  
Recommand Positives for Quality Control: *masterpiece, best quality* The other prompts as you like.  
Recommand Negatives: *lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artists name* # Bias

Low quality at too low or too high resolutions!!!  
Bad eyes at low resolutions. Malformed limbs often appear. Training set Contain copyright images. # Formula

Round1 Anything-V3.0(Linaqruf)+momoko-e(anonymous) sum rate0.25  
Round2 ()+mergetest1(Private, from a Chinese AI community NovelAI 中文频道) sum rate0.5  
Get URL, which better for further merges.  
After baked in vae-ft-mse-840000-ema-pruned(StabilityAI) VAE, pruned ema, compressed to FP16, get Anmokomergetest1.safetensors. Better for generate images.
TAGS
#diffusers #art #text-to-image #en #license-cc-by-nc-4.0 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
 # Anmokomergetest1

Anmokomergetest1 is a merged stable diffusion model specializes in anime, and can generate vivid and detailed also wide range anime pictures in high quality even with simple descriptions.  
It is an authorized copy of @路费不够 private model in a Chinese AI community NovelAI 中文频道, and merged from 3 models: Anything-V3.0(Linaqruf), momoko-e(anonymous), mergetest1(another private model from the community).  
Better performace at 1k original resolution, with URL it can produce larger pictures with more logical structures.  
Provide in 2 versions, uncompressed checkpoint and compressed safetensors. The CKPT needs to work with individual VAE or it wouldn't vivid, better for merging, and the safetensors has baked in VAE, better for generating pictures.

No commercial usage! # Preview

*Hatsune Miku, upper body*  
!URL  
*Kagamine Rin, upper body*  
!URL  
*Hakurei Reimu, upper body*  
!URL  
*Tohsaka Rin, upper body*  
!URL  
*Misaka Mikoto, upper body*  
!URL  
*Yuuki Asuna, upper body*  
!URL # Usage

Use as normal stable diffusion model package v1.x, no external yaml config is needed.  
Recommand settings: Steps: 12-28, Sampler: DPM++ SDE Karras, CFG scale: 5-11, Resolution: 1024x1024 # Tags

Positives, less is more. Negatives, less is more, too.  
Recommand Positives for Quality Control: *masterpiece, best quality* The other prompts as you like.  
Recommand Negatives: *lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artists name* # Bias

Low quality at too low or too high resolutions!!!  
Bad eyes at low resolutions. Malformed limbs often appear. Training set Contain copyright images. # Formula

Round1 Anything-V3.0(Linaqruf)+momoko-e(anonymous) sum rate0.25  
Round2 ()+mergetest1(Private, from a Chinese AI community NovelAI 中文频道) sum rate0.5  
Get URL, which better for further merges.  
After baked in vae-ft-mse-840000-ema-pruned(StabilityAI) VAE, pruned ema, compressed to FP16, get Anmokomergetest1.safetensors. Better for generate images.
TAGS
#diffusers #art #text-to-image #en #license-cc-by-nc-4.0 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us 
# Anmokomergetest1

Anmokomergetest1 is a merged stable diffusion model specializes in anime, and can generate vivid and detailed also wide range anime pictures in high quality even with simple descriptions.  
It is an authorized copy of @路费不够 private model in a Chinese AI community NovelAI 中文频道, and merged from 3 models: Anything-V3.0(Linaqruf), momoko-e(anonymous), mergetest1(another private model from the community).  
Better performace at 1k original resolution, with URL it can produce larger pictures with more logical structures.  
Provide in 2 versions, uncompressed checkpoint and compressed safetensors. The CKPT needs to work with individual VAE or it wouldn't vivid, better for merging, and the safetensors has baked in VAE, better for generating pictures.

No commercial usage!# Preview

*Hatsune Miku, upper body*  
!URL  
*Kagamine Rin, upper body*  
!URL  
*Hakurei Reimu, upper body*  
!URL  
*Tohsaka Rin, upper body*  
!URL  
*Misaka Mikoto, upper body*  
!URL  
*Yuuki Asuna, upper body*  
!URL# Usage

Use as normal stable diffusion model package v1.x, no external yaml config is needed.  
Recommand settings: Steps: 12-28, Sampler: DPM++ SDE Karras, CFG scale: 5-11, Resolution: 1024x1024# Tags

Positives, less is more. Negatives, less is more, too.  
Recommand Positives for Quality Control: *masterpiece, best quality* The other prompts as you like.  
Recommand Negatives: *lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artists name*# Bias

Low quality at too low or too high resolutions!!!  
Bad eyes at low resolutions. Malformed limbs often appear. Training set Contain copyright images.# Formula

Round1 Anything-V3.0(Linaqruf)+momoko-e(anonymous) sum rate0.25  
Round2 ()+mergetest1(Private, from a Chinese AI community NovelAI 中文频道) sum rate0.5  
Get URL, which better for further merges.  
After baked in vae-ft-mse-840000-ema-pruned(StabilityAI) VAE, pruned ema, compressed to FP16, get Anmokomergetest1.safetensors. Better for generate images.