license: other
license_name: fluently-license
license_link: https://huggingface.co/spaces/fluently/License
library_name: diffusers
pipeline_tag: text-to-image
base_model: runwayml/stable-diffusion-v1-5
tags:
- safetensors
- stable-diffusion
- sd1.5
- fluently
inference:
parameters:
num_inference_steps: 30
guidance_scale: 5.5
negative_prompt: >-
(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong
anatomy, extra limb, missing limb, floating limbs, (mutated hands and
fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting,
blurry, amputation
Fluently V3.5 - one model for all tasks (Fluently XL)
I would like to introduce my model - Fluently! This model was made by merging. I crossed a lot of checkpoints and loras.
About this model
In a nutshell, I took a few checkpoints and a bunch of Loras, I crossed through an extension in AUTOMATIC1111 - SuperMerger (available in extensions). Many factors were taken into account such as: eye quality, correct anatomy, reductions in required promt for a good result.
What makes my model different from others
Correct anatomy: my model has the correct anatomy
Face details: my model generates beautifully detailed faces and eyes even without AfterDetailer
Artistic: my model activates beautiful artistry when it needs it
Inpainting: my model is pretty good at Inpainting/Outpainting and I don't need to put in a specially designed model
Anime & Comic Book style: my model can draw great Anime and Comic Book art
Merge details
Below is a severely truncated list of models and loras of this model merging:
Models:
Juggernaut Final
Deliberate V2
RPG
Realistic Vision V1.3
DreamDrop V1
and more models...
Loras:
LowRA V2
Intricate Details
Detail Slider
Xeno Detailer
and more loras...
How to use this model
Quick Start
Install this model and start the AUTOMATIC1111
Select this checkpoint
Generate images!
Optimal Parameters
Steps: 20-30
Sampler: DPM++ 2M Karras/Euler a
CFG Scale: 5-7
CLIP-skip: 1
Negative Prompt: practically unnecessary
Addion for this model
style.csv for this model: click