Update README.md

README.md

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----
-license: other
-license_name: flux1dev
-license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
----
+---
+license: other
+license_name: flux1dev
+tags:
+- text-to-image
+- diffusers
+- flux
+- flux-diffusers
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: None
+widget:
+- text: a monochrome manga of a girl
+  output:
+    url: assets/girl.png
+- text: a monochrome manga epic sword stance before a insane battle  
+  output:
+    url: assets/swordsman.png
+- text: a monochrome manga of a shirtless buff scared man sitting below a black starry night, looking up, aesthetic shot, laying in a grassy field 
+  output:
+    url: assets/shirtless.png
+- text: a monochrome multi panel manga, masterpiece, best quality
+  output:
+    url: assets/panel.png
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+---
+
+<Gallery />
+
+## Model description
+
+merge of over 25 plus loras i have trained myself. 
+
+Found way to handle the Loras onto the base checkpoint without causing a leaking on styles/concepts across each other.
+
+Fluxteus is born!
+
+shoutout to [FAL](https://x.com/FAL) for sponsering me with compute credits and making this possible! 
+
+## Trigger words
+
+there are multiable diffrent trigger words for diffrent styles and concepts. 
+
+```
+detail, photo, anime, CinScene, dreamwalking,
+```
+
+## Use it with the [:firecracker: diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+pipeline = AutoPipelineForText2Image.from_pretrained("dataautogpt3/FluxteusV1", torch_dtype=torch.bfloat16).to('cuda')
+image = pipeline('detail photo of a girl').images[0]
+```
+
+## License
+
+Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).