PseudoTerminal X
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README.md
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1 |
+
---
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+
license: creativeml-openrail-m
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+
base_model: "black-forest-labs/FLUX.1-dev"
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tags:
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+
- stable-diffusion
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+
- stable-diffusion-diffusers
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+
- text-to-image
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- diffusers
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- simpletuner
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- lora
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+
- template:sd-lora
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+
inference: true
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widget:
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+
- text: 'unconditional (blank prompt)'
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parameters:
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+
negative_prompt: 'blurry, cropped, ugly'
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+
output:
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+
url: ./assets/image_0_0.png
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+
- text: 'a breathtaking naked portrait of a woman, capturing her essence with vibrant colors and expressive features'
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+
parameters:
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+
negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_1_0.png
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- text: 'a high-quality, detailed photograph of a woman as a sous-chef, immersed in the art of culinary creation'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_2_0.png
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+
- text: 'a lifelike and intimate naked portrait of a woman exploding into stardust'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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+
output:
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url: ./assets/image_3_0.png
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+
- text: 'a cinematic, visually stunning photo of a naked man, emphasizing his dramatic and captivating presence'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_4_0.png
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- text: 'an elegant and timeless portrait of a woman, exuding grace and sophistication'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_5_0.png
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- text: 'a dynamic and adventurous photo of a woman, captured in an exciting, action-filled moment'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_6_0.png
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- text: 'a mysterious and enigmatic portrait of a woman, shrouded in shadows and intrigue'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_7_0.png
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- text: 'a vintage-style portrait of a woman, evoking the charm and nostalgia of a bygone era'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_8_0.png
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- text: 'an artistic and abstract representation of a woman, blending creativity with visual storytelling'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_9_0.png
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- text: 'a futuristic and cutting-edge portrayal of a woman, set against a backdrop of advanced technology'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_10_0.png
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- text: 'a beautifully crafted portrait of a woman, highlighting her natural beauty and unique features'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_11_0.png
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- text: 'a powerful and striking portrait of a man, capturing his strength and character'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_12_0.png
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- text: 'a playful and spirited portrait of a clunky robot, capturing its metallic, shiny innocence'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_13_0.png
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- text: 'a charming and vibrant portrait of a chewbacca, emphasizing his hairy personality and joy'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_14_0.png
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- text: 'a heartwarming and cohesive family portrait, showcasing the bonds and connections between loved ones'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_15_0.png
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- text: 'a charming and warm photograph of a man at the beach on a sunny day'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_16_0.png
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- text: 'a cute man sitting in a roller coaster car, looking like he is enjoying the day at the theme park'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_17_0.png
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- text: 'a photograph of a juggalo from insane clown posse standing with his gang of thugs'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_18_0.png
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- text: 'julie, in photograph style'
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parameters:
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negative_prompt: 'blurry, cropped, ugly'
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output:
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url: ./assets/image_19_0.png
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---
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# flux-dreambooth-lora-r128-dev-reddit
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This is a LoRA derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev).
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The main validation prompt used during training was:
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```
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julie, in photograph style
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```
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## Validation settings
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- CFG: `3.0`
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- CFG Rescale: `0.0`
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- Steps: `20`
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- Sampler: `None`
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- Seed: `420420420`
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- Resolution: `512`
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Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
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You can find some example images in the following gallery:
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<Gallery />
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The text encoder **was not** trained.
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You may reuse the base model text encoder for inference.
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## Training settings
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- Training epochs: 0
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- Training steps: 500
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- Learning rate: 0.0001
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- Effective batch size: 2
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- Micro-batch size: 1
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- Gradient accumulation steps: 2
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- Number of GPUs: 1
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- Prediction type: flow-matching
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- Rescaled betas zero SNR: False
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- Optimizer: AdamW, stochastic bf16
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- Precision: Pure BF16
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- Xformers: Not used
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- LoRA Rank: 128
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- LoRA Alpha: 128.0
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- LoRA Dropout: 0.1
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- LoRA initialisation style: default
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## Datasets
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### normalnudes
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- Repeats: 0
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- Total number of images: 1126
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- Total number of aspect buckets: 3
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- Resolution: 1.0 megapixels
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- Cropped: True
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- Crop style: random
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- Crop aspect: random
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### nsfw-1024
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- Repeats: 0
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- Total number of images: 10816
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- Total number of aspect buckets: 1
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- Resolution: 512 px
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- Cropped: True
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- Crop style: random
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- Crop aspect: square
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### shutterstock
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- Repeats: 0
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- Total number of images: 21076
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- Total number of aspect buckets: 1
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- Resolution: 512 px
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- Cropped: True
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- Crop style: random
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- Crop aspect: square
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### julia
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- Repeats: 0
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- Total number of images: 34
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- Total number of aspect buckets: 1
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- Resolution: 512 px
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- Cropped: True
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- Crop style: random
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- Crop aspect: square
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### riverphoenix
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- Repeats: 0
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- Total number of images: 12
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- Total number of aspect buckets: 1
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- Resolution: 512 px
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- Cropped: True
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- Crop style: random
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- Crop aspect: square
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## Inference
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```python
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import torch
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from diffusers import DiffusionPipeline
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model_id = 'black-forest-labs/FLUX.1-dev'
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adapter_id = 'ptx0/flux-dreambooth-lora-r128-dev-reddit'
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pipeline = DiffusionPipeline.from_pretrained(model_id)
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pipeline.load_lora_weights(adapter_id)
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prompt = "julie, in photograph style"
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pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
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image = pipeline(
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prompt=prompt,
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num_inference_steps=20,
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generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
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width=512,
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height=512,
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guidance_scale=3.0,
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).images[0]
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image.save("output.png", format="PNG")
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```
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