Model card auto-generated by SimpleTuner

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
+  - safe-for-work
+  - lora
+  - template:sd-lora
+  - standard
+inference: true
+widget:
+- text: 'unconditional (blank prompt)'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_0_0.png
+- text: 'This is a digital drawing in a warm, pastel color palette, featuring a close-up view of a vintage-style coffee machine. The coffee machine is cream-colored with a golden trim and has a classic, retro design. It includes a large, circular dial on the right side, which is blue with a red pointer, indicating settings or temperature control. The coffee machine''s steam wand is positioned in the center, with a dark green handle and a white steam nozzle. The steam wand is currently in use, evidenced by a small amount of coffee being extracted into a white ceramic cup placed directly below. The coffee machine''s drip tray is visible beneath the cup, with a rectangular opening for the coffee to collect. The background is soft and muted, with warm tones that blend into the image, giving it a cozy and inviting atmosphere. The overall style of the drawing is reminiscent of mid-century modern design, with smooth, clean lines and a focus on warm, comforting colors.'
+  parameters:
+    negative_prompt: 'blurry, cropped, ugly'
+  output:
+    url: ./assets/image_1_0.png
+---
+
+# jazzy-st
+
+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:
+
+
+
+```
+This is a digital drawing in a warm, pastel color palette, featuring a close-up view of a vintage-style coffee machine. The coffee machine is cream-colored with a golden trim and has a classic, retro design. It includes a large, circular dial on the right side, which is blue with a red pointer, indicating settings or temperature control. The coffee machine's steam wand is positioned in the center, with a dark green handle and a white steam nozzle. The steam wand is currently in use, evidenced by a small amount of coffee being extracted into a white ceramic cup placed directly below. The coffee machine's drip tray is visible beneath the cup, with a rectangular opening for the coffee to collect. The background is soft and muted, with warm tones that blend into the image, giving it a cozy and inviting atmosphere. The overall style of the drawing is reminiscent of mid-century modern design, with smooth, clean lines and a focus on warm, comforting colors.
+```
+
+## Validation settings
+- CFG: `3.0`
+- CFG Rescale: `0.0`
+- Steps: `20`
+- Sampler: `None`
+- Seed: `42`
+- Resolution: `1024x1024`
+
+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: 0
+- Training steps: 500
+- Learning rate: 0.0004
+- Max grad norm: 2.0
+- Effective batch size: 1
+  - Micro-batch size: 1
+  - Gradient accumulation steps: 1
+  - Number of GPUs: 1
+- Prediction type: flow-matching (extra parameters=['shift=3', 'flux_guidance_value=1.0', 'flux_lora_target=all'])
+- Rescaled betas zero SNR: False
+- Optimizer: adamw_bf16
+- Precision: Pure BF16
+- Quantised: No
+- Xformers: Not used
+- LoRA Rank: 64
+- LoRA Alpha: None
+- LoRA Dropout: 0.1
+- LoRA initialisation style: default
+    
+
+## Datasets
+
+### jazzy-512
+- Repeats: 10
+- Total number of images: 28
+- Total number of aspect buckets: 1
+- Resolution: 0.262144 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+- Used for regularisation data: No
+### jazzy-1024
+- Repeats: 10
+- Total number of images: 28
+- Total number of aspect buckets: 2
+- Resolution: 1.048576 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+- Used for regularisation data: No
+### jazzy-512-crop
+- Repeats: 10
+- Total number of images: 28
+- Total number of aspect buckets: 1
+- Resolution: 0.262144 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+- Used for regularisation data: No
+### jazzy-1024-crop
+- Repeats: 10
+- Total number of images: 28
+- Total number of aspect buckets: 1
+- Resolution: 1.048576 megapixels
+- Cropped: True
+- Crop style: random
+- Crop aspect: square
+- Used for regularisation data: No
+
+
+## Inference
+
+
+```python
+import torch
+from diffusers import DiffusionPipeline
+
+model_id = 'black-forest-labs/FLUX.1-dev'
+adapter_id = 'linhqyy/jazzy-st'
+pipeline = DiffusionPipeline.from_pretrained(model_id), torch_dtype=torch.bfloat16) # loading directly in bf16
+pipeline.load_lora_weights(adapter_id)
+
+prompt = "This is a digital drawing in a warm, pastel color palette, featuring a close-up view of a vintage-style coffee machine. The coffee machine is cream-colored with a golden trim and has a classic, retro design. It includes a large, circular dial on the right side, which is blue with a red pointer, indicating settings or temperature control. The coffee machine's steam wand is positioned in the center, with a dark green handle and a white steam nozzle. The steam wand is currently in use, evidenced by a small amount of coffee being extracted into a white ceramic cup placed directly below. The coffee machine's drip tray is visible beneath the cup, with a rectangular opening for the coffee to collect. The background is soft and muted, with warm tones that blend into the image, giving it a cozy and inviting atmosphere. The overall style of the drawing is reminiscent of mid-century modern design, with smooth, clean lines and a focus on warm, comforting colors."
+
+
+## Optional: quantise the model to save on vram.
+## Note: The model was not quantised during training, so it is not necessary to quantise it during inference time.
+#from optimum.quanto import quantize, freeze, qint8
+#quantize(pipeline.transformer, weights=qint8)
+#freeze(pipeline.transformer)
+    
+pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu') # the pipeline is already in its target precision level
+image = pipeline(
+    prompt=prompt,
+    num_inference_steps=20,
+    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=3.0,
+).images[0]
+image.save("output.png", format="PNG")
+```
+