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.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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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 girl sitting under a tree in the style of TOK
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+ output:
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+ url: samples/1739543051119__000000800_0.jpg
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+ - text: a boy wearing a hat and holding a fishing rod, sitting in a boat with a
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+ crocodile on it, surrounded by water and grass, with a sky full of clouds
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+ in the background. in the style of TOK
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+ output:
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+ url: samples/1739543056428__000000800_1.jpg
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+ base_model: black-forest-labs/FLUX.1-schnell
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+ instance_prompt: in the style of TOK
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+ license: apache-2.0
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+
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+
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+ ---
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+
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+ # illustration-bd-test-800
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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 `in the style of TOK` 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](/fffiloni/illustration-bd-test-800/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-schnell', torch_dtype=torch.bfloat16).to('cuda')
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+ pipeline.load_lora_weights('fffiloni/illustration-bd-test-800', weight_name='illustration-bd-test-800.safetensors')
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+ image = pipeline('a girl sitting under a tree in the style of TOK').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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