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README.md

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+---
+tags:
+- text-to-image
+- lora
+- diffusers
+- flux
+base_model: black-forest-labs/FLUX.1-dev
+license: creativeml-openrail-m
+library_name: diffusers
+---
+
+# Flux.1-Dev LoRA Adapter Trained on Me
+
+LoRA Adapter for [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) trained on  22 pictures of young women wearing a traditional Vietnamese dess `ao dai` with [ai-toolkit](https://github.com/ostris/ai-toolkit/tree/main)
+
+# Model Details
+
+**Some Amusing Examples**
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(1).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(3).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(4).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(5).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(6).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(7).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(8).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(9).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(10).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(11).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(12).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(13).png" width=576>
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/aodai%20(13).png" width=576>
+LoRA was trained with the trigger phrase `a0da1`
+
+Full training config available at [train_lora_flux.yaml](./train_lora_flux.yaml)
+
+# Usage
+
+With diffusers package  
+*Note: FLUX uses ~70GBvram when loaded directly with diffusers*  
+*Note: Recommended to load at ~70% scale for best results*  
+
+```python
+from diffusers import DiffusionPipeline
+
+pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
+pipeline.load_lora_weights("dtthanh/aodai_v2", weight_name="aodai_v2.safetensors")
+pipeline.to("cuda")
+
+prompt = "a photo of a young Asian women dressed in traditional Vietnamese dress called a0da1."
+
+out = pipeline(
+    prompt=prompt,
+    guidance_scale=3.5,
+    num_inference_steps=20,
+    cross_attention_kwargs={"scale": 0.7}
+).images[0]
+
+out.save("aodai.png")
+```
+
+ComfyUI Workflow
+
+trigger: a0da1
+
+prompt: "a photo of a young [enethnicity] women dressed in traditional Vietnamese dress called a0da1."
+
+
+<img src="https://huggingface.co/dtthanh/aodai_v2/resolve/main/Screenshot%202024-09-08%20101527" width=800>
+
+File available at [workflow_aodai_lora.json](workflow_aodai_lora_v2.json)
+
+# Additional Details
+
+Please see base model page [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) for all details on appropriate usage, licensing, and more.

train_lora_flux.yaml

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+---
+job: extension
+config:
+  # this name will be the folder and filename name
+  name: "aodai_v1"
+  process:
+    - type: 'sd_trainer'
+      # root folder to save training sessions/samples/weights
+      training_folder: "output"
+      # uncomment to see performance stats in the terminal every N steps
+#      performance_log_every: 1000
+      device: cuda:0
+      # if a trigger word is specified, it will be added to captions of training data if it does not already exist
+      # alternatively, in your captions you can add [trigger] and it will be replaced with the trigger word
+      trigger_word: "a0da1"
+      network:
+        type: "lora"
+        linear: 32
+        linear_alpha: 32
+      save:
+        dtype: float16 # precision to save
+        save_every: 250 # save every this many steps
+        max_step_saves_to_keep: 4 # how many intermittent saves to keep
+        push_to_hub: false #change this to True to push your trained model to Hugging Face.
+        # You can either set up a HF_TOKEN env variable or you'll be prompted to log-in         
+#       hf_repo_id: your-username/your-model-slug
+#       hf_private: true #whether the repo is private or public
+      datasets:
+        # datasets are a folder of images. captions need to be txt files with the same name as the image
+        # for instance image2.jpg and image2.txt. Only jpg, jpeg, and png are supported currently
+        # images will automatically be resized and bucketed into the resolution specified
+        # on windows, escape back slashes with another backslash so
+        # "C:\\path\\to\\images\\folder"
+        - folder_path: "./aodai"
+          caption_ext: "txt"
+          caption_dropout_rate: 0.05  # will drop out the caption 5% of time
+          shuffle_tokens: false  # shuffle caption order, split by commas
+          cache_latents_to_disk: true  # leave this true unless you know what you're doing
+          resolution: [ 512, 768, 1024 ]  # flux enjoys multiple resolutions
+      train:
+        batch_size: 1
+        steps: 1000  # total number of steps to train 500 - 4000 is a good range
+        gradient_accumulation_steps: 1
+        train_unet: true
+        train_text_encoder: false  # probably won't work with flux
+        gradient_checkpointing: true  # need the on unless you have a ton of vram
+        noise_scheduler: "flowmatch" # for training only
+        optimizer: "adamw8bit"
+        lr: 1e-4
+        # uncomment this to skip the pre training sample
+#        skip_first_sample: true
+        # uncomment to completely disable sampling
+#        disable_sampling: true
+        # uncomment to use new vell curved weighting. Experimental but may produce better results
+#        linear_timesteps: true
+
+        # ema will smooth out learning, but could slow it down. Recommended to leave on.
+        ema_config:
+          use_ema: true
+          ema_decay: 0.99
+
+        # will probably need this if gpu supports it for flux, other dtypes may not work correctly
+        dtype: bf16
+      model:
+        # huggingface model name or path
+        name_or_path: "black-forest-labs/FLUX.1-dev"
+        is_flux: true
+        quantize: true  # run 8bit mixed precision
+#        low_vram: true  # uncomment this if the GPU is connected to your monitors. It will use less vram to quantize, but is slower.
+      sample:
+        sampler: "flowmatch" # must match train.noise_scheduler
+        sample_every: 250 # sample every this many steps
+        width: 576
+        height: 1024
+        prompts:
+          # you can add [trigger] to the prompts here and it will be replaced with the trigger word
+#          - "[trigger] holding a sign that says 'I LOVE PROMPTS!'"\
+          - "a photo of a young woman wearing a traditional Vietnamese dress called [trigger]"
+          - "a photo of a young Asian woman wearing a traditional Vietnamese dress called [trigger]"
+          - "a photo of a young Vietnamese woman wearing a traditional Vietnamese dress called [trigger]"
+          - "a photo of a young Western woman wearing a traditional Vietnamese dress called [trigger]"
+        neg: ""  # not used on flux
+        seed: 42
+        walk_seed: true
+        guidance_scale: 4
+        sample_steps: 20
+# you can add any additional meta info here. [name] is replaced with config name at top
+meta:
+  name: "[name]"
+  version: '1.0'

workflow_lora_aodai_v2.json

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