metadata

tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
widget:
  - text: >-
      frosted GC, a pristine white jar, adorned with a silver lid, is adorned
      with the words "Spirulina" in bold black lettering. The jar is set against
      a light blue backdrop, creating a stark contrast to the jars contents. A
      barcode is visible on the jar, adding a pop of color to the composition.
    output:
      url: images/FG1.png
  - text: >-
      frosted GC, A medium shot of a white jar with a yellow lid. The jar has
      the words "Yellow" and "Fish Oil Bottle Mockup" written on it in black
      letters. There is a white background behind the jar.
    output:
      url: images/FG2.png
  - text: >-
      frosted GC, a small, gray bottle with a black cap is seen against a stark
      white backdrop. The bottles label, "Cellular Nutrition mitopure" is
      prominently displayed in the center of the frame, with the words
      "Time-line" written in white font on the right side of the bottle. The
      label also includes the number "60" and "50" in the bottom left corner.
    output:
      url: images/FG3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: frosted GC
license: creativeml-openrail-m

Flux.1-Dev-Frosted-Container-LoRA

Prompt
frosted GC, a pristine white jar, adorned with a silver lid, is adorned with the words "Spirulina" in bold black lettering. The jar is set against a light blue backdrop, creating a stark contrast to the jars contents. A barcode is visible on the jar, adding a pop of color to the composition.

Prompt
frosted GC, A medium shot of a white jar with a yellow lid. The jar has the words "Yellow" and "Fish Oil Bottle Mockup" written on it in black letters. There is a white background behind the jar.

Prompt
frosted GC, a small, gray bottle with a black cap is seen against a stark white backdrop. The bottles label, "Cellular Nutrition mitopure" is prominently displayed in the center of the frame, with the words "Time-line" written in white font on the right side of the bottle. The label also includes the number "60" and "50" in the bottom left corner.

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

Model description

prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA

Image Processing Parameters

Parameter	Value	Parameter	Value
LR Scheduler	constant	Noise Offset	0.03
Optimizer	AdamW	Multires Noise Discount	0.1
Network Dim	64	Multires Noise Iterations	10
Network Alpha	32	Repeat & Steps	14 & 2200
Epoch	10	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 16

Best Dimensions

768 x 1024 (Best)
1024 x 1024 (Default)

Setting Up

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA"
trigger_word = "frosted GC"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Other Sample Image

Trigger words

You should use frosted GC to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.