Flux-Material-Glass-Cube

- Prompt
- Glass Cube, a clear cube-shaped glass block is adorned with a chrome-plated metal bar nailed to the side of it. The bar is positioned in the center of the block, with the words Na Sodium 11 written below it in a bold black font. The background is a stark white, creating a stark contrast to the cube.

- Prompt
- Glass Cube, a clear cube-shaped object is adorned with the words Li Lithium 3 in black letters. The cube is positioned against a stark white backdrop, creating a stark contrast to the object. The objects reflection is visible on its surface, adding a touch of depth to the image.

- Prompt
- Glass Cube, Captured from a high-angle perspective on a pristine white backdrop, a square cube-shaped object is adorned with two silver balls, one of which is labeled Ni nickel 28 and the other "Nickel 28". Each ball has a speckled texture, adding a touch of contrast to the composition. The cube-like object casts a shadow on the right side of the frame, adding depth to the image.

- Prompt
- Glass Cube, a black rock is encased in a clear cube-shaped plastic box. The rocks surface is smooth and glossy, with a rough texture and a smooth surface. Below the rock, the words C Carbon 6 are written in bold black letters. The background is a stark white, creating a stark contrast to the black rock.

- Prompt
- Glass Cube, A brilliant gold nugget is suspended within a crystal-clear cube-shaped block. The nugget has a naturally irregular surface that shimmers under the lighting, casting faint golden reflections on the inner glass walls. Below the nugget, the words Au Gold 79 are printed in bold black text. The background is stark white, allowing the rich, metallic hue of the gold to stand out vividly. A subtle shadow from the cube falls to the right, adding dimension to the composition.
Model description for Flux-Material-Glass-Cube
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 | 18 & 2100 |
Epoch | 14 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 17
Best Dimensions & Inference
Dimensions | Aspect Ratio | Recommendation |
---|---|---|
1280 x 832 | 3:2 | Best |
1024 x 1024 | 1:1 | Default |
Inference Range
- Recommended Inference Steps: 30-35
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 = "strangerzonehf/Flux-Material-Glass-Cube"
trigger_word = "Glass Cube"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use Glass Cube
to trigger the image generation.
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Model tree for strangerzonehf/Flux-Material-Glass-Cube
Base model
black-forest-labs/FLUX.1-dev