Flux LoRA Collections
Collection
Flux THE LoRA • 131 items • Updated • 33
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("prithivMLmods/Mockup-Texture-Flux-LoRA")
prompt = "Mockup, a pristine white sweatshirt is prominently displayed against a stark white backdrop. The sweatshirt has a long-sleeved button-down collar and a zipper on the right side of the chest. The sleeves of the sweatshirt are rolled up at the elbow, adding a touch of texture to the image."
image = pipe(prompt).images[0]Mockup-Texture
- Prompt
- Mockup, a pristine white sweatshirt is prominently displayed against a stark white backdrop. The sweatshirt has a long-sleeved button-down collar and a zipper on the right side of the chest. The sleeves of the sweatshirt are rolled up at the elbow, adding a touch of texture to the image.
- Prompt
- Mockup, A medium-angle shot of a white t-shirt with a black collar and short sleeves. The shirt is positioned in front of a gray backdrop. The front of the shirt is turned to the left, and the sleeves are rolled up to the right. The sleeves have a slight curve at the neckline, adding a touch of texture to the shirt. The t-shirts are positioned in a way that creates a stark contrast to the gray backdrop, making the shirt the focal point of the image.
- Prompt
- Mockup, A medium-angle shot of a womans white t-shirt with a short-sleeved red collar is displayed against a gray backdrop. The shirts front is facing the left side of the frame, and the sleeves are rolled up to the right. The sleeves are short, with a red stripe running down the center of the neckline. The t-shirts are made of a soft, smooth, smooth white material. The rims of the sleeves and sleeves are a vibrant red, adding a pop of color to the otherwise monochromatic image.
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/Mockup-Texture-Flux-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 | 23 & 2.2K |
| Epoch | 13 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 22 [ Hi-RES ]
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/Mockup-Texture-Flux-LoRA"
trigger_word = "Mockup"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Data source
- https://playground.com/
Trigger words
You should use Mockup to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for prithivMLmods/Mockup-Texture-Flux-LoRA
Base model
black-forest-labs/FLUX.1-dev