Update README.md

README.md

@@ -1,11 +1,61 @@
+---
+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
+language:
+- en
+tags:
+- flux
 - diffusers
 - lora
 - replicate
-base_model: "black-forest-labs/FLUX.1-dev"
+base_model: black-forest-labs/FLUX.1-dev
 pipeline_tag: text-to-image
-# widget:
-#   - text: >-
-#       prompt
-#     output:
-#       url: https://...
-instance_prompt: LORACOUNDIA01
+instance_prompt: LORACOUNDIA01
+widget:
+- text: >-
+    A close-up portrait of a LORACOUNDIA01 as a dashing and elegant Santa Claus,
+    radiating charm and joy in a Senegalese festive setting. Their face is
+    adorned with a neatly groomed, fluffy white beard, complementing a warm,
+    welcoming smile. They wear a vibrant red and gold boubou, exquisitely
+    detailed with intricate embroidery, giving a regal and festive appearance. A
+    sleek Santa hat, designed with matching red and gold fabric, sits perfectly
+    on their head, tilted just slightly for a touch of playfulness.  The
+    background glows with the warmth of a golden sunset over a bustling
+    Senegalese village, where baobab trees are decorated with strings of
+    colorful lights and ornaments. Children in bright, traditional outfits
+    surround the scene, their faces beaming with excitement as they gather to
+    receive gifts. LORACOUNDIA01 holds a beautifully wrapped present, their pose
+    exuding generosity and festive cheer. This enchanting portrait blends the
+    magic of Christmas with the rich culture and vibrant colors of Senegal,
+    creating a truly unique and heartwarming vision of a modern, elegant Santa
+    Claus.
+
+
+---
+
+# Loracoundia01
+
+<Gallery />
+
+Trained on Replicate using:
+
+https://replicate.com/ostris/flux-dev-lora-trainer/train
+
+
+## Trigger words
+You should use `LORACOUNDIA01` to trigger the image generation.
+
+
+## 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.float16).to('cuda')
+pipeline.load_lora_weights('pcoundia/loracoundia01', weight_name='lora.safetensors')
+image = pipeline('your prompt').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)