Update README.md

add tags and inference details for more discoverability and usability :)

README.md

@@ -2,4 +2,45 @@
 license: other
 license_name: flux-1-dev-non-commercial-license
 license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
----
+library_name: diffusers
+pipeline_tag: text-to-image
+tags:
+- diffusers
+- lora
+- flux
+- flux-diffusers
+- template:sd-lora
+base_model: black-forest-labs/FLUX.1-dev
+---
+
+<Gallery />
+
+## Model description
+
+These are davisbro/half_illustration LoRA weights for black-forest-labs/FLUX.1-dev.
+
+The weights were trained with the replicate Flux trainer.
+
+## Trigger words
+
+the style is triggered automatically with any choice of prompt. 
+
+## Download model
+
+[Download the *.safetensors LoRA](https://huggingface.co/davisbro/half_illustration/tree/main) in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('davisbro/half_illustration', weight_name='flux_train_replicate.safetensors')
+image = pipeline('A 50mm bokeh photo of a fashion show in paris, midday sun, surrounded by the colorful friendly rock and roll text "Paris" and other french themed doodles').images[0]
+```
+
+For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
+
+## License
+
+Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).