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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: ''''
+  output:
+    url: ./assets/image_0_0.png
+- text: '90s sitcom still of scene where a man, wearing an office outfit, is eating a burger in a diner. A blond waitress is serving him on the right side. The scene has the typical 1990s sitcom look, with vibrant colors.'
+  parameters:
+    negative_prompt: ''''
+  output:
+    url: ./assets/image_1_0.png
+---
+
+# flux-lora-training
+
+This is a LyCORIS adapter 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:
+
+
+
+```
+90s sitcom still of scene where a man, wearing an office outfit, is eating a burger in a diner. A blond waitress is serving him on the right side. The scene has the typical 1990s sitcom look, with vibrant colors.
+```
+
+## 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: 16
+- Training steps: 200
+- Learning rate: 0.0008
+- Effective batch size: 4
+  - Micro-batch size: 4
+  - Gradient accumulation steps: 1
+  - Number of GPUs: 1
+- Prediction type: flow-matching
+- Rescaled betas zero SNR: False
+- Optimizer: adamw_bf16
+- Precision: bf16
+- Quantised: No
+- Xformers: Not used
+- LyCORIS Config:
+```json
+{
+    "algo": "lokr",
+    "multiplier": 1.0,
+    "linear_dim": 1000000,
+    "linear_alpha": 1,
+    "factor": 16,
+    "apply_preset": {
+        "target_module": [
+            "Attention",
+            "FeedForward"
+        ],
+        "module_algo_map": {
+            "Attention": {
+                "factor": 16
+            },
+            "FeedForward": {
+                "factor": 8
+            }
+        }
+    }
+}
+```
+
+## Datasets
+
+### default_dataset
+- Repeats: 0
+- Total number of images: 22
+- Total number of aspect buckets: 1
+- Resolution: 1.048576 megapixels
+- Cropped: True
+- Crop style: center
+- Crop aspect: square
+
+
+## Inference
+
+
+```python
+import torch
+from diffusers import DiffusionPipeline
+from lycoris import create_lycoris_from_weights
+
+model_id = 'black-forest-labs/FLUX.1-dev'
+adapter_id = 'pytorch_lora_weights.safetensors' # you will have to download this manually
+lora_scale = 1.0
+wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_id, pipeline.transformer)
+wrapper.merge_to()
+
+prompt = "90s sitcom still of scene where a man, wearing an office outfit, is eating a burger in a diner. A blond waitress is serving him on the right side. The scene has the typical 1990s sitcom look, with vibrant colors."
+
+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")
+```
+