Create README.md

README.md

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+---
+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
+language:
+- en
+tags:
+- flux
+- diffusers
+- lora
+base_model: black-forest-labs/FLUX.1-schnell
+pipeline_tag: text-to-image
+instance_prompt: bad taxidermist style
+library_name: diffusers
+inference:
+  parameters:
+    width: 1024
+    height: 1024
+widget:
+- text: >-
+    This image is a simplified, TSTVCTR vector-style portrait of a person with
+    distinct cartoonish features. The man is wearing a gray hat and black-framed
+    glasses. He has a thick, neatly trimmed beard and mustache. A playful touch
+    is added by a small blue flower with a pink center placed behind his right
+    ear. His expression is neutral, with a hint of warmth in his eyes and a
+    faint smile. The background is a solid pale yellow, providing a calm,
+    minimalistic backdrop that contrasts with the bold, dark colors of his beard
+    and glasses. He is dressed in a simple green shirt, which matches the clean,
+    modern, and flat art style of the image.  The overall feel of the
+    illustration is lighthearted and modern, with geometric lines and a focus on
+    smooth, flat shapes. The flower adds a fun and quirky element to the
+    otherwise calm and straightforward portrayal.
+  output:
+    url: images/example_wyd3vx781.png
+
+
+---
+
+# Flux Bad Taxidermist
+
+
+
+## Trigger words
+You should use `bad taxidermist style` to trigger the image generation.
+
+<Gallery />
+
+
+## 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('lichorosario/flux-lora-bad-taxidermist', weight_name='lora.safetensors')
+image = pipeline('your prompt').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)