Total runs:
11.2K
Run Growth:
1.4K
Growth Rate:
12.34%
Sponsored by
APIMaster
strangerzonehf / Bg-Bag
Model's Last Updated: January 16 2025
text-to-image
Introduction of Bg-Bag
Model Details of Bg-Bag
- Prompt
- Prompt
- Prompt
- Prompt
Model description for Bg-Bag
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 | 16 & 2230 |
| Epoch | 14 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 25
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/Bg-Bag"
trigger_word = "Ctoon++"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use
Bg bag
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Runs of strangerzonehf Bg-Bag on huggingface.co
19
Total runs
1
24-hour runs
1
3-day runs
4
7-day runs
15
30-day runs
More Information About Bg-Bag huggingface.co Model
Url of Bg-Bag
Bg-Bag huggingface.co Url
Provider of Bg-Bag huggingface.co
Other API from strangerzonehf
Updated:December 18 2025
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