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README.md
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- flux
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base_model: black-forest-labs/FLUX.1-dev
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license: creativeml-openrail-m
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library_name: diffusers
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---
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# Flux.1-Dev LoRA Adapter Trained on Me
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LoRA Adapter for [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) trained on pictures of me with [ai-toolkit](https://github.com/ostris/ai-toolkit/tree/main)
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# Model Details
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**Some Amusing Examples**
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/ZG8SCJngcopb_eapEIWpf.png" width=400>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/9EJxi0-wVpRmhndEOtqet.png" width=400>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/yzM48yFaHmHgYFAQJdATw.png" width=400>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/Ye1-e96hf1g1BPB29CyUE.png" width=400>
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LoRA was trained with the trigger phrase `4d4m luc3k`
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Full training config available at [train_lora_flux_me.yaml](./train_lora_flux_me.yaml)
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# Usage
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With diffusers package
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*Note: FLUX uses ~70GBvram when loaded directly with diffusers*
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*Note: Recommended to load at ~70% scale for best results*
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```python
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from diffusers import DiffusionPipeline
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pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
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pipeline.load_lora_weights("AdamLucek/FLUX.1-dev-lora-adaml", weight_name="flux_lora_Adam.safetensors.safetensors")
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pipeline.to("cuda")
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prompt = "4d4m luc3k as a DJ in a fancy nightclub wearing sunglasses."
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out = pipeline(
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prompt=prompt,
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guidance_scale=3.5,
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num_inference_steps=50,
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cross_attention_kwargs={"scale": 0.7}
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).images[0]
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out.save("adam_flux_lora.png")
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```
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ComfyUI Setup
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65ba68a15d2ef0a4b2c892b4/7c_8aakMNzY4OPjSn5q-5.png" width=800>
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File available at [workflow_adamlora.json](workflow_adamlora.json)
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# Additional Details
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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.
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