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PoojaHegdeFluxV1.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6e7020c2d9099bcf6cf0da2f41a2b18ebfbaa373370ddb4be3613a41ea42081c
+size 10870106

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: rups
+---
+
+# Rupss
+
+<!-- <Gallery /> -->
+
+Trained on Replicate using:
+
+https://replicate.com/ostris/flux-dev-lora-trainer/train
+
+
+## Trigger words
+You should use `rups` 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('harshasai-dev/rupss', 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)