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prithivMLmods/Qwen-Image-Studio-Realism
Qwen-Image-Studio-Realism is a text-to-image model from prithivMLmods. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
Downloads · 30 days
739
8% of all-time downloads
All-time downloads
9.3K
Public
Repo size
1.2 GB
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23
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.safetensors1.2 GB · 99%
From the Hugging Face model README

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 | 20 & 2790 |
| Epoch | 20 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 27 [HQ Images]
| Source | Link |
|---|---|
| Playground | playground.com |
| ArtStation | artstation.com |
| 4K Wallpapers | 4kwallpapers.com |
| Dimensions | Aspect Ratio | Recommendation |
|---|---|---|
| 1472 x 1140 | 4:3 (approx.) | Best |
| 1024 x 1024 | 1:1 | Default |
import torch
from diffusers import DiffusionPipeline
base_model = "Qwen/Qwen-Image"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
lora_repo = "prithivMLmods/Qwen-Image-Studio-Realism"
trigger_word = "Studio Realism"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
You should use Studio Realism to trigger the image generation.
Download them in the Files & versions tab.