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HuMeow_FLUX.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a2c84f1a4704dedf5c9a7cc2039d32e9f1d0a8b5d26b68c88f362e2f700cc34e
+size 19259984

README.md

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+---
+license: other
+license_name: bespoke-lora-trained-license
+license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+- template:sd-lora
+- migrated
+- cats
+- concept
+- cat
+- furry
+- humanoid cat
+
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: HuMeow
+widget:
+- text: ' '
+  
+  output:
+    url: >-
+      25794115.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      25795270.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      25794111.jpeg
+- text: ' '
+  
+  output:
+    url: >-
+      25794110.jpeg
+
+---
+
+# HuMeow [FLUX] 
+
+<Gallery />
+
+
+
+([CivitAI](https://civitai.com/models/))
+
+## Model description
+
+<p>As you all know, there are not enough cat images on the internet.</p><p>This is HuMeow (Human + Meow): A FLUX LoRA which was designed to solve this problem by generating human(oid) cats as well as getting random cats to appear in scenes where the trigger word 'HuMeow' is used.</p><p></p><p>There are also <a rel="ugc" href="https://civitai.com/models/252637/humeow-lora">SDXL and SDv1.5 versions of this LoRA</a></p><p>The training dataset is <a target="_blank" rel="ugc" href="https://civitai.com/api/download/training-data/285058">available for download</a></p>
+
+## Trigger words
+You should use `HuMeow` to trigger the image generation.
+    
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](/Norod78/humeow-flux/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.float16).to('cuda')
+pipeline.load_lora_weights('Norod78/humeow-flux', weight_name='HuMeow_FLUX.safetensors')
+image = pipeline('`HuMeow`').images[0]
+```
+
+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)
+