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
+  - image-to-image
+  - diffusers
+  - simpletuner
+  - safe-for-work
+  - lora
+  - template:sd-lora
+  - standard
+pipeline_tag: text-to-image
+inference: true
+widget:
+- text: 'unconditional (blank prompt)'
+  parameters:
+    negative_prompt: ''''
+  output:
+    url: ./assets/image_0_0.png
+- text: 'Photography of a beautiful 20-year-old woman in a yoga studio looking at the camera, wearing a full white body-hugging top with no bra and tight white yoga pants. She has long, dark brown hair with hints of red and large breasts that stretch her top to its limit.'
+  parameters:
+    negative_prompt: ''''
+  output:
+    url: ./assets/image_1_0.png
+- text: 'A photorealistic full-body top-down angle Instagram influencer-style photo featuring a captivating 28-year-old woman with dark brown hair with hints of red and deep brown eyes. She wears an imaginatively stylized corset with a garter belt and delicate stockings, exuding a magical, alluring, and sultry charm. Her toned physique is emphasized with a narrow waist, long slim legs, and a thigh gap. She is lying in soft grass against a hyper-detailed and beautifully magical fantasy background. The overall scene is vibrant and dynamic, showcasing her perfect facial features and radiant eyes in an ultra-maximalist style.'
+  parameters:
+    negative_prompt: ''''
+  output:
+    url: ./assets/image_2_0.png
+- text: 'A young woman stands on a rain-soaked street in a neon-lit cyberpunk city, her face fierce and determined. The woman is dressed in futuristic armor, glowing with electric lines as she stares down a dark alley. Her eyes reflect the neon glow, adding intensity to her gaze.'
+  parameters:
+    negative_prompt: ''''
+  output:
+    url: ./assets/image_3_0.png
+- text: 'A heartbreakingly beautiful tall 44-year-old woman with long dark brown hair with hints of red styled over one eye. She has heavy makeup with dramatic eyeshadow, winged mascara, and glossy blood-red lips. Her piercing brown eyes smolder with confidence. She has a fit, toned, and very tanned body with 36D natural breasts. She is wearing a school uniform with a black pleated skirt and a white shirt tied in a knot to reveal her midriff. She has black stockings with lace tops and black high-heeled school shoes. She gives the viewer a flirty smile over her shoulder, lifting her skirt to show her booty from behind, with one hand on her peachy ass, revealing her tiny navy blue panties. She is in a highly detailed classroom with the backboard, school desks, and chairs visible. The view is from behind and below.'
+  parameters:
+    negative_prompt: ''''
+  output:
+    url: ./assets/image_4_0.png
+- text: 'Realistic wide shot photo of woman posing in a luxurious satin lingerie set, featuring a plunging bra, delicate thong and a classic garter belt with black stockings. The satin lingerie shimmers softly in the light, and the cut emphasizes both sophistication and a hint of allure. The lingerie is detailed with fine lace edges, highlighting her alluring figure. She elegantly styled hair as if getting ready for a formal event. The photo has a cinematic quality with rays of light and dramatic play of shadow and light'
+  parameters:
+    negative_prompt: ''''
+  output:
+    url: ./assets/image_5_0.png
+---
+
+# reddy-v2
+
+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:
+```
+Realistic wide shot photo of woman posing in a luxurious satin lingerie set, featuring a plunging bra, delicate thong and a classic garter belt with black stockings. The satin lingerie shimmers softly in the light, and the cut emphasizes both sophistication and a hint of allure. The lingerie is detailed with fine lace edges, highlighting her alluring figure. She elegantly styled hair as if getting ready for a formal event. The photo has a cinematic quality with rays of light and dramatic play of shadow and light
+```
+
+
+## Validation settings
+- CFG: `2.0`
+- CFG Rescale: `0.0`
+- Steps: `20`
+- Sampler: `FlowMatchEulerDiscreteScheduler`
+- Seed: `42`
+- Resolution: `832x1216`
+- Skip-layer guidance: 
+
+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: 100
+- Learning rate: 0.0001
+  - Learning rate schedule: constant
+  - Warmup steps: 500
+- Max grad value: 2.0
+- Effective batch size: 1
+  - Micro-batch size: 1
+  - Gradient accumulation steps: 1
+  - Number of GPUs: 1
+- Gradient checkpointing: True
+- Prediction type: flow-matching (extra parameters=['shift=3', 'flux_guidance_mode=constant', 'flux_guidance_value=1.0', 'flow_matching_loss=compatible', 'flux_lora_target=all'])
+- Optimizer: adamw_bf16
+- Trainable parameter precision: Pure BF16
+- Base model precision: `int8-quanto`
+- Caption dropout probability: 0.0%
+
+
+- LoRA Rank: 32
+- LoRA Alpha: None
+- LoRA Dropout: 0.1
+- LoRA initialisation style: default
+    
+
+## Datasets
+
+### reddy-v2-512
+- Repeats: 10
+- Total number of images: 13
+- Total number of aspect buckets: 1
+- Resolution: 0.262144 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+- Used for regularisation data: No
+### reddy-v2-1024
+- Repeats: 10
+- Total number of images: 5
+- Total number of aspect buckets: 1
+- Resolution: 1.048576 megapixels
+- Cropped: False
+- Crop style: None
+- Crop aspect: None
+- Used for regularisation data: No
+
+
+## Inference
+
+
+```python
+import torch
+from diffusers import DiffusionPipeline
+
+model_id = 'black-forest-labs/FLUX.1-dev'
+adapter_id = 'Unmapped2895/reddy-v2'
+pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16) # loading directly in bf16
+pipeline.load_lora_weights(adapter_id)
+
+prompt = "Realistic wide shot photo of woman posing in a luxurious satin lingerie set, featuring a plunging bra, delicate thong and a classic garter belt with black stockings. The satin lingerie shimmers softly in the light, and the cut emphasizes both sophistication and a hint of allure. The lingerie is detailed with fine lace edges, highlighting her alluring figure. She elegantly styled hair as if getting ready for a formal event. The photo has a cinematic quality with rays of light and dramatic play of shadow and light"
+
+
+## Optional: quantise the model to save on vram.
+## Note: The model was quantised during training, and so it is recommended to do the same 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
+model_output = 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(42),
+    width=832,
+    height=1216,
+    guidance_scale=2.0,
+).images[0]
+
+model_output.save("output.png", format="PNG")
+
+```
+
+
+