je-suis-tm/dakota_johnson_lora_flux_nf4

Dakota Johnson Lora Flux NF4

Prompt

Training With QLoRA: Dakota Johnson with long, straight brown hair and bangs that frame her face. Her hair falls just below her shoulders. She's dressed in business attire, featuring a white collared shirt with a pointed collar standing at the back of her neck. A thin, smooth tie or scarf, potentially silk or cotton, is knotted around her neck. Over the shirt, she wears a gray, double-breasted jacket with two rows of buttons and small, round epaulets adorning the shoulders. The jacket's style and the woman's overall appearance suggest she may be dressed for a formal occasion or professional meeting.

Prompt

Training Without QLoRA: Dakota Johnson with long, straight brown hair and bangs that frame her face. Her hair falls just below her shoulders. She's dressed in business attire, featuring a white collared shirt with a pointed collar standing at the back of her neck. A thin, smooth tie or scarf, potentially silk or cotton, is knotted around her neck. Over the shirt, she wears a gray, double-breasted jacket with two rows of buttons and small, round epaulets adorning the shoulders. The jacket's style and the woman's overall appearance suggest she may be dressed for a formal occasion or professional meeting.

Prompt

Testing With QLoRA: Dramatic cinematic style full vertical body portrait photography. Dakota Johnson is wearing a deep crimson gown. Warm golden hour lighting, soft pastel tones, professional retouching. Gentle and soothing mood, soft saturation.

Prompt

Testing Without QLoRA: Dramatic cinematic style full vertical body portrait photography. Dakota Johnson is wearing a deep crimson gown. Warm golden hour lighting, soft pastel tones, professional retouching. Gentle and soothing mood, soft saturation.

All files are also archived in https://github.com/je-suis-tm/huggingface-archive in case this gets censored.

The QLoRA fine-tuning process of dakota_johnson_lora_flux_nf4 takes inspiration from this post (https://huggingface.co/blog/flux-qlora). The training was executed on a local computer with 1000 timesteps and the same parameters as the link mentioned above, which took around 6 hours on 8GB VRAM 4060. The peak VRAM usage was around 7.7GB. To avoid running low on VRAM, both transformers and text_encoder were quantized. All the images generated here are using the below parameters

• Height: 512
• Width: 512
• Guidance scale: 5
• Num inference steps: 20
• Max sequence length: 512
• Seed: 0

Usage

import torch
from diffusers import FluxPipeline, FluxTransformer2DModel
from transformers import T5EncoderModel

text_encoder_4bit = T5EncoderModel.from_pretrained(
    "hf-internal-testing/flux.1-dev-nf4-pkg", subfolder="text_encoder_2",torch_dtype=torch.float16,)

transformer_4bit = FluxTransformer2DModel.from_pretrained(
        "hf-internal-testing/flux.1-dev-nf4-pkg", subfolder="transformer",torch_dtype=torch.float16,)

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.float16,
                                    transformer=transformer_4bit,text_encoder_2=text_encoder_4bit)

pipe.load_lora_weights("je-suis-tm/dakota_johnson_lora_flux_nf4",
                       weight_name='pytorch_lora_weights.safetensors')

prompt="Dramatic cinematic style full vertical body portrait photography. Dakota Johnson is wearing a deep crimson gown. Warm golden hour lighting, soft pastel tones, professional retouching. Gentle and soothing mood, soft saturation. "

image = pipe(
            prompt,
            height=512,
            width=512,
            guidance_scale=5,
            num_inference_steps=20,
            max_sequence_length=512,
            generator=torch.Generator("cpu").manual_seed(0),            
        ).images[0]

image.save("dakota_johnson_lora_flux_nf4.png")

Trigger words

You should use Dakota Johnson to trigger the image generation.

Download model

Download them in the Files & versions tab.