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.gitattributes

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+samples/1740141371783__000001000_0.jpg filter=lfs diff=lfs merge=lfs -text
+samples/1740141400616__000001000_1.jpg filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- ai-toolkit
+widget:
+-   text: close-up of a white tiger, red eyes. in the style of TOK
+    output:
+        url: samples/1740141371783__000001000_0.jpg
+-   text: fierce princess, white hair, looking up. in the style of TOK
+    output:
+        url: samples/1740141400616__000001000_1.jpg
+-   text: fierce lion, red eyes. in the style of TOK
+    output:
+        url: samples/1740141429380__000001000_2.jpg
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: in the style of TOK
+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
+---
+
+# dark-pointillisme
+Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
+<Gallery />
+
+## Trigger words
+
+You should use `in the style of TOK` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
+
+Weights for this model are available in Safetensors format.
+
+[Download](/fffiloni/dark-pointillisme/tree/main) them in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('fffiloni/dark-pointillisme', weight_name='dark-pointillisme.safetensors')
+image = pipeline('close-up of a white tiger, red eyes. in the style of TOK').images[0]
+image.save("my_image.png")
+```
+
+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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