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README.md

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+---
+license: other
+license_name: fluently-license
+license_link: https://huggingface.co/spaces/fluently/License
+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"
+  
+---
+# **Fluenlty XL** V3 - the best XL-model
+
+![preview](images/preview.png)
+
+[>>> Run in **RunDiffusion** <<<](https://civitai.com/api/run/401769?partnerId=1&strategyId=1067841896)
+
+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)

model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.22.0.dev0",
+  "feature_extractor": [
+    null,
+    null
+  ],
+  "force_zeros_for_empty_prompt": true,
+  "image_encoder": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "EulerAncestralDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}