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- RetroDeck.safetensors +3 -0
- RetroDeck_000000500.safetensors +3 -0
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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 church in a field on a sunny day, [trigger] style.
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output:
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url: samples/1726636837030__000001000_0.jpg
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- text: A seal plays with a ball on the beach, [trigger] style.
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output:
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url: samples/1726636855231__000001000_1.jpg
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- text: A clown at the circus rides on a zebra, [trigger] style.
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output:
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url: samples/1726636873446__000001000_2.jpg
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- text: '[trigger]'
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output:
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url: samples/1726636891658__000001000_3.jpg
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: RetroDeck
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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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# RetroDeck
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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 `RetroDeck` 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](/uwcc/RetroDeck/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('uwcc/RetroDeck', weight_name='RetroDeck')
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image = pipeline('A church in a field on a sunny day, [trigger] style.').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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version https://git-lfs.github.com/spec/v1
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oid sha256:5c741ba8e6881c6d883d875c5d9a154306bb115f3b7b84180a6c5f4d41950f08
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size 171969400
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7a5d877e7d89040e4364c772cb4200fa30764154246e48426622e1a52fa3643
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size 171969400
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