Upload README.md

README.md

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+---
+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"
+pipeline_tag: text-to-image
+# widget:
+#   - text: >-
+#       prompt
+#     output:
+#       url: https://...
+instance_prompt: ANAYA
+---
+
+# Kavya Abtest
+
+<Gallery />
+
+Trained on Replicate using:
+
+https://replicate.com/ostris/flux-dev-lora-trainer/train
+
+## Trigger words
+
+You should use `KAVYA` 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('xotopo/anaya1800', weight_name='ioeDCbe7sYXJ6JNU5DHj5_pytorch_lora_weights.safetensors', multiplier=0.7)
+pipeline.load_lora_weights('xotopo/civitai-3D-animation-style-lora', weight_name='3d animation style_lora-000012.safetensors', multiplier=1)
+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)