v1 of SciStyle is a test model for a new image captioning pipeline I've been working on. The model was trained on a subset of 1k images of various styles/mediums. Surprised by the results for a model trained on only 1k images, I decided to release it here. The full model is currently being worked on.
For more info on the image captioning pipeline, refer to my Discord thread linked bellow
Visit my thread on the Unstable Diffusion Discord
S&D
Base Model: Stable Diffusion v1.5
Type: Experimental Fine-tune
Clip: 1
Medium: Multi-medium
Caption Style: Natural Language + Booru Style
Dataset Size: Subset, 4k images out of 25k images + DnD dataset
Training Resolution: 768x768
Difference from v1: More fantasy focused, additional training on a DnD dataset.
V1
Base Model: Stable Diffusion v1.5
Type: Experimental Fine-tune
Clip: 1
Medium: Multi-medium
Caption Style: Natural Language + Booru Style
Dataset Size: Subset, 1k images out of 25k images
Training Resolution: 768x768
V2
Base Model: Stable Diffusion v1.5
Type: Experimental Fine-tune
Clip: 1
Medium: Multi-medium
Caption Style: Natural Language + Booru Style
Dataset Size: Subset, 6.5k images out of 25k images
Training Resolution: 768x768
Difference from v1: More species from various Sci-fi and fantasy universes.
Multi-medium: Capable of generating images from multiple art mediums, simply include the medium in the prompt.
Natural Language & Booru: Accepts both natural language prompts and booru style prompts.
Extra Detail: Understands subtle details often skipped by SD models. Such as, number of objects/subjects in a scene, background information, color information for various parts of the image, atmosphere, ect.. (see my discord thread above for more info on how this is achieved.)
Flexible: Can easily be merged with other SD1.5 checkpoints / LoRAs
Special Tokens:
SciStyle
, can be used as a class token at the beginning of the prompt, but is not necessary.
Tag for various art mediums, i.e., a comic book illustration of
, 90s anime screencap of
or, simply add the medium towards the end of the prompt; comic book illustration
, photorealistic
. These are just examples of tag placement. Feel free to experiment with other mediums
Euler a
Steps: 20 - 32
CFG: 6 - 7.5
DPM++ SDE Karras
Steps: 30 - 40
CFG: 6 - 8.5
DPM++ 2M SDE Karras
Steps: 50+
CFG: 7 - 8
These are just recommendations.
Settings for all ESRGAN models:
Upscale by
1.5 if resolution is > 512x768
Don't exceed 2.0 (unless you have a beefy rig)
Denoise Strength
0.25 - 0.35
Hires Steps
If sampling steps > 60,
hires steps = half of sampling steps
Otherwise, leave at 0
ADetailer
Download here
Neutral Prompt
Download here
Read repo(s) Descriptions for usage guides
Only if you want to remake one of the sample images. Personally, I would avoid using negative embeddings and instead use a simple negative prompt and then add+ or subtract- tokens per new idea. I only use them to speed-up inference during sample generation. That being said, other negative embeddings such as EasyNegative, ect.. are also fine to use with this model.
SDXL
SD1.5
Doomer Boomer - https://civitai.com/models/118247/doomer-boomer
Lomostyle - https://civitai.com/models/109923/lomostyle
Another Damn Art Model (ADAM) - https://civitai.com/models/104898/another-damn-art-model-adam
Based Model - https://civitai.com/models/83991?modelVersionId=89262
Electric Eden - https://civitai.com/models/64355/electric-eden
Cine Diffusion - https://civitai.com/models/50000/cine-diffusion
ProjectAIO - https://civitai.com/models/18428/project-aio
WonderMix - https://civitai.com/models/15666/wondermix
Refined - https://civitai.com/models/8392/refined
Experience - https://civitai.com/models/5952/experience
Elegance - https://civitai.com/models/5564/elegance
Clarity - https://civitai.com/models/5062/clarity
VisionGen - Realism Reborn -https://civitai.com/models/4834/visiongen-realism
LoRA
Pant Pull Down - https://civitai.com/models/11126/pant-pull-down-lora
SciStyle-v2
More races/species from various Sci-fi and Fantasy universes.
Started fine-tuning photo manipulation into the model for more abstract generations. This idea has since been abandoned and will be moved to its own dedicated photo manipulation model.