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README.md

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+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- ai-toolkit
+widget:
+-   text: A church in a field on a sunny day, [trigger] style.
+    output:
+        url: samples/1727460695888__000004000_0.jpg
+-   text: A seal plays with a ball on the beach, [trigger] style.
+    output:
+        url: samples/1727460714061__000004000_1.jpg
+-   text: A clown at the circus rides on a zebra, [trigger] style.
+    output:
+        url: samples/1727460732235__000004000_2.jpg
+-   text: '[trigger]'
+    output:
+        url: samples/1727460750414__000004000_3.jpg
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: mezmark
+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
+---
+
+# mezmark
+Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
+<Gallery />
+
+## Trigger words
+
+You should use `mezmark` 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](/uwcc/mezmark/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('uwcc/mezmark', weight_name='mezmark')
+image = pipeline('A church in a field on a sunny day, [trigger] style.').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)
+

mezmark.safetensors

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+size 171969392

mezmark_000002000.safetensors

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mezmark_000002500.safetensors

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mezmark_000003500.safetensors

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