Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion
sdxl
fluetnly-xl
fluently
trained
Inference Endpoints
Fluently-XL-Final / README.md
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---
license: other
license_name: fluently-license
license_link: https://huggingface.co/spaces/fluently/License
extra_gated_prompt: >-
By clicking "Agree", you agree to the [License
Agreement](https://huggingface.co/spaces/fluently/License/blob/main/LICENSE.md)
extra_gated_fields:
Name: text
Email: text
Country: country
Who you are?:
type: select
options:
- 'Researcher'
- 'Student'
- 'Teacher'
- 'Model creator'
- 'Non-profit company'
- 'Commercial company'
datasets:
- ehristoforu/midjourney-images
- ehristoforu/dalle-3-images
- ehristoforu/fav_images
library_name: diffusers
pipeline_tag: text-to-image
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- safetensors
- stable-diffusion
- sdxl
- fluetnly-xl
- fluently
- trained
inference:
parameters:
num_inference_steps: 25
guidance_scale: 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 XL** FINAL - the best XL-model
![preview](images/preview.png)
*This is the **final release**. Improved overall aesthetics, improved lighting and more.*
Introducing Fluently XL, you are probably ready to argue with the name of the model: “The best XL-model”, but now I will prove to you why it is true.
## About this model
The model was obtained through training on *expensive graphics accelerators*, a lot of work was done, now we will show why this XL model is better than others.
### Features
- Correct anatomy
- Art and realism in one
- Controling contrast
- Great nature
- Great faces without AfterDetailer
### More info
Our model is better than others because we do not mix but **train**, but at first it may seem that the model is not very good, but if you are a real professional you will like it.
## Using
Optimal parameters in Automatic1111/ComfyUI:
- Sampling steps: 20-35
- Sampler method: Euler a/Euler
- CFG Scale: 4-6.5
## End
Let's remove models that copy each other from the top and put one that is actually developing, thank you)