# FeverDream

This is a fine tuning of SD1.5 and designed as a general purpose model trained on high quality photographs and traditional artworks upscaled and denoised before training to get the sharpest cleanest results possible. 
It's trained at 576 resolution using the offset noise fix so generations are sharp and detailed with vibrant colors, deep blacks, and a well balanced contrast.

This model was not trained with A.I. generated images or merged with any other models which means your images won't have that green/aqua color cast seen in so many models today. 

The largest portion of the dataset consists of photographs of women, men, gorgeous landscapes, and luxurious home/cabin/hotel interiors, some abandoned buildings and cityscapes, followed by a few unique art styles that can most easily be discovered by prompting with the commonly used words below.

Some tips for realistic images: 
avoid using the word "realistic," part of the dataset contains "realistic porcelain dolls" and the weights for "realistic" have shifted in the direction of the dolls.  It shouldn't be an issue but If your faces look a bit smoother than you like try throwing the word "doll" in the negative prompt. 
This model is great at both high detailed realism and stylized images when prompted correctly.

A few commonly used words found in the training dataset include:

Papercut

Liquid Splash

Realistic Porcelain Doll

Interior

Landscape

...and a few others for you to discover.

If your so inclined to leave a tip I'm happy to accept monero at this address:
82s3fk8bQB2DHJ3r9idZUsST1Dvf5cKKC6Fu87rYgV9dAFbCbAcXMPXaP59yDwWzRXfYfTBszHZno6xGwDb17xUzEkCsAah

Thanks for checking out my work and enjoy!

## Examples

Below are some examples of images generated using this model:

**Liquid Splash:**
![Liquid Splash](https://huggingface.co/Cosmo-Hug/FeverDream/resolve/main/Example01.png)
```
close up of a young woman wearing a black and gold liquid splash dress, pretty face, detailed eyes, soft lips, floating in outer space and planets in the background, fluid, wet, dripping, waxy, smooth, realistic, octane render
Negative prompt: two, few, couple, group, lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, dehydrated, extra limbs, clone, disfigured, gross, malformed, extra arms, extra legs, fingers, long neck, username, watermark, signature
Steps: 30, Sampler: DPM++ SDE, CFG scale: 7
```
**Party Skelly:**
![Party Skelly](https://huggingface.co/Cosmo-Hug/FeverDream/resolve/main/Example02.png)
```
a 3d render of a cyberpunk gothic skull face surrounded by neon lines and veins, in the style ayami kojima with headdress made out of sushi
Negative prompt: two, few, couple, double, blurry background, low depth of field, bokeh, lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, dehydrated, extra limbs, clone, disfigured, gross, malformed, extra arms, extra legs, fingers, long neck, username, watermark, signature
Steps: 30, Sampler: DPM++ SDE Karras, CFG scale: 5
```
**Dirty Girl:**
![Dirty Girl](https://huggingface.co/Cosmo-Hug/FeverDream/resolve/main/Example03.png)
```
close up photo action shot of a buxom woman cyborg, beautiful, sweaty, sweat glistening, science fiction movie, old scars, suspended movement, slow motion, visual flow, rough and tumble, dirt flying, pale, big gray eyes, piercing eyes, undercut hair, (highly detailed:1.1), dramatic, hi-res, (film grain), high ISO, 35mm, gorgeous, outdoor lighting, perfect face, delicate features, bloody nose, rusty tattered and dented metal parts, wasteland, dramatic rim lighting
Negative prompt: doll, blurry background, low depth of field, bokeh, lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature
Steps: 20, Sampler: DPM++ SDE Karras, CFG scale: 5
```
**Apartment:**
![Apartment](https://huggingface.co/Cosmo-Hug/FeverDream/resolve/main/Example04.png)
```
a new york manhattan luxury bedroom in the spring, hyper detailed, ultra realistic, sharp focus, octane render, volumetric, ray tracing, artstation trending, cgsociety, insanely detailed studio photography hdr, 8k, cinematic lighting, dramatic lighting, Cannon EOS 5D, 85mm
Negative prompt: lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, dehydrated, extra limbs, clone, disfigured, gross, malformed, extra arms, extra legs, fingers, long neck, username, watermark, signature
Steps: 30, Sampler: DPM2, CFG scale: 5
```
{"language": ["en"], "license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "inference": true}
diffusers stable-diffusion stable-diffusion-diffusers text-to-image en license:creativeml-openrail-m endpoints_compatible has_space diffusers:StableDiffusionPipeline region:us
TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #en #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 

# FeverDream

This is a fine tuning of SD1.5 and designed as a general purpose model trained on high quality photographs and traditional artworks upscaled and denoised before training to get the sharpest cleanest results possible. 
It's trained at 576 resolution using the offset noise fix so generations are sharp and detailed with vibrant colors, deep blacks, and a well balanced contrast.

This model was not trained with A.I. generated images or merged with any other models which means your images won't have that green/aqua color cast seen in so many models today. 

The largest portion of the dataset consists of photographs of women, men, gorgeous landscapes, and luxurious home/cabin/hotel interiors, some abandoned buildings and cityscapes, followed by a few unique art styles that can most easily be discovered by prompting with the commonly used words below.

Some tips for realistic images: 
avoid using the word "realistic," part of the dataset contains "realistic porcelain dolls" and the weights for "realistic" have shifted in the direction of the dolls.  It shouldn't be an issue but If your faces look a bit smoother than you like try throwing the word "doll" in the negative prompt. 
This model is great at both high detailed realism and stylized images when prompted correctly.

A few commonly used words found in the training dataset include:

Papercut

Liquid Splash

Realistic Porcelain Doll

Interior

Landscape

...and a few others for you to discover.

If your so inclined to leave a tip I'm happy to accept monero at this address:
82s3fk8bQB2DHJ3r9idZUsST1Dvf5cKKC6Fu87rYgV9dAFbCbAcXMPXaP59yDwWzRXfYfTBszHZno6xGwDb17xUzEkCsAah

Thanks for checking out my work and enjoy!

## Examples

Below are some examples of images generated using this model:

Liquid Splash:
!Liquid Splash

Party Skelly:
!Party Skelly

Dirty Girl:
!Dirty Girl

Apartment:
!Apartment

# FeverDream

This is a fine tuning of SD1.5 and designed as a general purpose model trained on high quality photographs and traditional artworks upscaled and denoised before training to get the sharpest cleanest results possible. 
It's trained at 576 resolution using the offset noise fix so generations are sharp and detailed with vibrant colors, deep blacks, and a well balanced contrast.

This model was not trained with A.I. generated images or merged with any other models which means your images won't have that green/aqua color cast seen in so many models today. 

The largest portion of the dataset consists of photographs of women, men, gorgeous landscapes, and luxurious home/cabin/hotel interiors, some abandoned buildings and cityscapes, followed by a few unique art styles that can most easily be discovered by prompting with the commonly used words below.

Some tips for realistic images: 
avoid using the word "realistic," part of the dataset contains "realistic porcelain dolls" and the weights for "realistic" have shifted in the direction of the dolls.  It shouldn't be an issue but If your faces look a bit smoother than you like try throwing the word "doll" in the negative prompt. 
This model is great at both high detailed realism and stylized images when prompted correctly.

A few commonly used words found in the training dataset include:

Papercut

Liquid Splash

Realistic Porcelain Doll

Interior

Landscape

...and a few others for you to discover.

If your so inclined to leave a tip I'm happy to accept monero at this address:
82s3fk8bQB2DHJ3r9idZUsST1Dvf5cKKC6Fu87rYgV9dAFbCbAcXMPXaP59yDwWzRXfYfTBszHZno6xGwDb17xUzEkCsAah

Thanks for checking out my work and enjoy! ## Examples

Below are some examples of images generated using this model:

Liquid Splash:
!Liquid Splash

Party Skelly:
!Party Skelly

Dirty Girl:
!Dirty Girl

Apartment:
!Apartment
TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #en #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
 # FeverDream

This is a fine tuning of SD1.5 and designed as a general purpose model trained on high quality photographs and traditional artworks upscaled and denoised before training to get the sharpest cleanest results possible. 
It's trained at 576 resolution using the offset noise fix so generations are sharp and detailed with vibrant colors, deep blacks, and a well balanced contrast.

This model was not trained with A.I. generated images or merged with any other models which means your images won't have that green/aqua color cast seen in so many models today. 

The largest portion of the dataset consists of photographs of women, men, gorgeous landscapes, and luxurious home/cabin/hotel interiors, some abandoned buildings and cityscapes, followed by a few unique art styles that can most easily be discovered by prompting with the commonly used words below.

Some tips for realistic images: 
avoid using the word "realistic," part of the dataset contains "realistic porcelain dolls" and the weights for "realistic" have shifted in the direction of the dolls.  It shouldn't be an issue but If your faces look a bit smoother than you like try throwing the word "doll" in the negative prompt. 
This model is great at both high detailed realism and stylized images when prompted correctly.

A few commonly used words found in the training dataset include:

Papercut

Liquid Splash

Realistic Porcelain Doll

Interior

Landscape

...and a few others for you to discover.

If your so inclined to leave a tip I'm happy to accept monero at this address:
82s3fk8bQB2DHJ3r9idZUsST1Dvf5cKKC6Fu87rYgV9dAFbCbAcXMPXaP59yDwWzRXfYfTBszHZno6xGwDb17xUzEkCsAah

Thanks for checking out my work and enjoy! ## Examples

Below are some examples of images generated using this model:

Liquid Splash:
!Liquid Splash

Party Skelly:
!Party Skelly

Dirty Girl:
!Dirty Girl

Apartment:
!Apartment
TAGS
#diffusers #stable-diffusion #stable-diffusion-diffusers #text-to-image #en #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us 
# FeverDream

This is a fine tuning of SD1.5 and designed as a general purpose model trained on high quality photographs and traditional artworks upscaled and denoised before training to get the sharpest cleanest results possible. 
It's trained at 576 resolution using the offset noise fix so generations are sharp and detailed with vibrant colors, deep blacks, and a well balanced contrast.

This model was not trained with A.I. generated images or merged with any other models which means your images won't have that green/aqua color cast seen in so many models today. 

The largest portion of the dataset consists of photographs of women, men, gorgeous landscapes, and luxurious home/cabin/hotel interiors, some abandoned buildings and cityscapes, followed by a few unique art styles that can most easily be discovered by prompting with the commonly used words below.

Some tips for realistic images: 
avoid using the word "realistic," part of the dataset contains "realistic porcelain dolls" and the weights for "realistic" have shifted in the direction of the dolls.  It shouldn't be an issue but If your faces look a bit smoother than you like try throwing the word "doll" in the negative prompt. 
This model is great at both high detailed realism and stylized images when prompted correctly.

A few commonly used words found in the training dataset include:

Papercut

Liquid Splash

Realistic Porcelain Doll

Interior

Landscape

...and a few others for you to discover.

If your so inclined to leave a tip I'm happy to accept monero at this address:
82s3fk8bQB2DHJ3r9idZUsST1Dvf5cKKC6Fu87rYgV9dAFbCbAcXMPXaP59yDwWzRXfYfTBszHZno6xGwDb17xUzEkCsAah

Thanks for checking out my work and enjoy!## Examples

Below are some examples of images generated using this model:

Liquid Splash:
!Liquid Splash

Party Skelly:
!Party Skelly

Dirty Girl:
!Dirty Girl

Apartment:
!Apartment