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  1. README.md +56 -0
  2. WATERCOLOUR_ILLUSTRATION.safetensors +3 -0
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README.md ADDED
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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/1727828552988__000002000_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/1727828571395__000002000_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/1727828589795__000002000_2.jpg
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+ - text: '[trigger]'
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+ output:
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+ url: samples/1727828608192__000002000_3.jpg
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+ base_model: black-forest-labs/FLUX.1-dev
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+ instance_prompt: WATERCOLOUR_ILLUSTRATION
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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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+
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+ # WATERCOLOUR_ILLUSTRATION
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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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+
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+ ## Trigger words
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+
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+ You should use `WATERCOLOUR_ILLUSTRATION` to trigger the image generation.
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+
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+ ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](/uwcc/WATERCOLOUR_ILLUSTRATION/tree/main) them in the Files & versions tab.
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+
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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/WATERCOLOUR_ILLUSTRATION', weight_name='WATERCOLOUR_ILLUSTRATION.safetensors')
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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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+
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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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+
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