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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: "John6666/nsfw-master-flux-lora-merged-with-flux1-dev-fp16-v10-fp8-flux"
-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('John6666/nsfw-master-flux-lora-merged-with-flux1-dev-fp16-v10-fp8-flux', 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)