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README.md

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+---
+license: other
+base_model: "black-forest-labs/FLUX.1-dev"
+tags:
+  - flux
+  - flux-diffusers
+  - text-to-image
+  - diffusers
+  - simpletuner
+  - lora
+  - template:sd-lora
+inference: true
+widget:
+- text: 'unconditional (blank prompt)'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_0_0.png
+- text: 'Dr. Seuss during a book signing event, seated at a table with an open book and pen in hand, his characteristic white beard, clear-rimmed glasses, and whimsical bow tie complementing his calm, attentive expression, all within the literary setting of a bookstore, reflecting his enduring connection with readers and the joy his work brought to many.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_1_0.png
+- text: 'Anime picture of famed author Dr. Seuss in a Studio Ghibli style'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_2_0.png
+- text: 'Dr. Seuss in a leather jacket riding a Harley Davidson Motorcycle'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_3_0.png
+- text: 'Famous author Dr. Seuss holding a chainsaw while riding around on a unicycle, vintage TV still from the Dick Van Dyke show'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_4_0.png
+- text: 'A photograph of Dr. Seuss riding in a horse-drawn carriage'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_5_0.png
+---
+
+# flux-training-seuss-lora
+
+This is a standard PEFT LoRA derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev).
+
+
+The main validation prompt used during training was:
+
+
+
+```
+A photograph of Dr. Seuss riding in a horse-drawn carriage
+```
+
+## Validation settings
+- CFG: `3.5`
+- CFG Rescale: `0.0`
+- Steps: `15`
+- Sampler: `None`
+- Seed: `42`
+- Resolution: `1024`
+
+Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
+
+You can find some example images in the following gallery:
+
+
+<Gallery />
+
+The text encoder **was not** trained.
+You may reuse the base model text encoder for inference.
+
+
+## Training settings
+
+- Training epochs: 33
+- Training steps: 74
+- Learning rate: 0.0003
+- Effective batch size: 16
+  - Micro-batch size: 1
+  - Gradient accumulation steps: 16
+  - Number of GPUs: 1
+- Prediction type: flow-matching
+- Rescaled betas zero SNR: False
+- Optimizer: adamw_bf16
+- Precision: bf16
+- Quantised: No
+- Xformers: Not used
+- LoRA Rank: 16
+- LoRA Alpha: None
+- LoRA Dropout: 0.1
+- LoRA initialisation style: default
+    
+
+## Datasets
+
+### default_dataset_arb
+- Repeats: 0
+- Total number of images: 4
+- Total number of aspect buckets: 3
+- Resolution: 1.5 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+### default_dataset
+- Repeats: 0
+- Total number of images: 3
+- Total number of aspect buckets: 1
+- Resolution: 1.048576 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+### default_dataset_512
+- Repeats: 0
+- Total number of images: 4
+- Total number of aspect buckets: 1
+- Resolution: 0.262144 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+### default_dataset_576
+- Repeats: 0
+- Total number of images: 4
+- Total number of aspect buckets: 1
+- Resolution: 0.331776 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+### default_dataset_640
+- Repeats: 0
+- Total number of images: 4
+- Total number of aspect buckets: 1
+- Resolution: 0.4096 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+### default_dataset_704
+- Repeats: 0
+- Total number of images: 4
+- Total number of aspect buckets: 1
+- Resolution: 0.495616 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+### default_dataset_768
+- Repeats: 0
+- Total number of images: 3
+- Total number of aspect buckets: 1
+- Resolution: 0.589824 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+### default_dataset_832
+- Repeats: 0
+- Total number of images: 3
+- Total number of aspect buckets: 1
+- Resolution: 0.692224 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+### default_dataset_896
+- Repeats: 0
+- Total number of images: 3
+- Total number of aspect buckets: 1
+- Resolution: 0.802816 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+### default_dataset_960
+- Repeats: 0
+- Total number of images: 3
+- Total number of aspect buckets: 1
+- Resolution: 0.9216 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+
+
+## Inference
+
+
+```python
+import torch
+from diffusers import DiffusionPipeline
+
+model_id = 'black-forest-labs/FLUX.1-dev'
+adapter_id = 'jimmycarter/flux-training-seuss-lora'
+pipeline = DiffusionPipeline.from_pretrained(model_id)
+pipeline.load_lora_weights(adapter_id)
+
+prompt = "A photograph of Dr. Seuss riding in a horse-drawn carriage"
+
+pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
+image = pipeline(
+    prompt=prompt,
+    num_inference_steps=15,
+    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
+    width=1024,
+    height=1024,
+    guidance_scale=3.5,
+).images[0]
+image.save("output.png", format="PNG")
+```
+