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README.md
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---
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tags:
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- text-to-image
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- flux
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- lora
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- diffusers
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- template:sd-lora
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- ai-toolkit
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widget:
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- text: 'A green dragonfly-themed tiffany_lamp lamp '
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output:
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url: samples/1732806394500__000001000_0.jpg
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- text: Three different tiffany_lamp Tiffany lamps next to each other on a table.
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output:
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url: samples/1732806405243__000001000_1.jpg
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- text: A giant tiffany_lamp towering over a village
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output:
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url: samples/1732806416028__000001000_2.jpg
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: tiffany_lamp
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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# tiffanylamp
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
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<Gallery />
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## Trigger words
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You should use `tiffany_lamp` to trigger the image generation.
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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Weights for this model are available in Safetensors format.
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[Download](/sohvren/tiffanylamp/tree/main) them in the Files & versions tab.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
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pipeline.load_lora_weights('sohvren/tiffanylamp', weight_name='tiffanylamp.safetensors')
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image = pipeline('A green dragonfly-themed tiffany_lamp lamp ').images[0]
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image.save("my_image.png")
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```
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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)
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samples/1732806405243__000001000_1.jpg
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samples/1732806416028__000001000_2.jpg
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tiffanylamp.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a85f928a6b73206b96dbf8c6729148e998203a6ff58e422a1435008ee09f6a0
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size 171969416
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