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README.md

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----
-license: mit
----
+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- ai-toolkit
+widget:
+-   text: modulated vector line art, simple clean lines, minimalist logo-style cat
+        cuddling with its owner, z3nm4l_cl4ss1c4l
+    output:
+        url: samples/1734221756891__000003000_0.jpg
+-   text: modulated vector line art, simple clean lines, minimalist logo-style A majestic
+        mountain, z3nm4l_cl4ss1c4l
+    output:
+        url: samples/1734221762124__000003000_1.jpg
+-   text: modulated vector line art, simple clean lines, minimalist logo-style A mall
+        with people about, z3nm4l_cl4ss1c4l
+    output:
+        url: samples/1734221767317__000003000_2.jpg
+base_model: black-forest-labs/FLUX.1-schnell
+instance_prompt: z3nm4l_cl4ss1c4l
+license: apache-2.0
+
+
+---
+
+# zenmai-classical-1
+Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
+<Gallery />
+
+## Trigger words
+
+You should use `z3nm4l_cl4ss1c4l` 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](/abrowne2/zenmai-classical-1/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-schnell', torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('abrowne2/zenmai-classical-1', weight_name='zenmai-classical-1.safetensors')
+image = pipeline('modulated vector line art, simple clean lines, minimalist logo-style cat cuddling with its owner, z3nm4l_cl4ss1c4l').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)
+

zenmai-classical-1.safetensors

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+size 171969432