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/Fashion-Hut-Modeling-LoRA")
prompt = "Modeling of Photo of a woman with long brown hair, wearing a pink sports bra, standing against a plain white background, looking over her shoulder with a serious expression, medium close-up, fair skin, slender physique, small breasts, soft lighting, high quality, jpeg artifacts, no watermark, no text, no tattoos, no piercings, no makeup, no jewelry, no accessories, no background, no shadows, no highlights, no reflections, no lens flare, no bokeh, no depth of field, no blur, no grain, no noise, no compression, no artifacts, no compression artifacts, no noise artifacts, no grain artifacts, no blur artifacts, no depth of field artifacts, no highlights artifacts, no shadows artifacts, no lens flare artifacts, no reflections artifacts"
image = pipe(prompt).images[0]


The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
prithivMLmods/Fashion-Hut-Modeling-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 | 26 & 2900 |
| Epoch | 16 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 14 [ Hi-RES ]
| Description |
|---|
| Modeling Photo of a woman with long brown hair, wearing a orange sports bra, standing against a plain white background, looking over her shoulder with a serious expression, medium close-up, fair skin, slender physique, small breasts, soft lighting, high quality, jpeg artifacts, no watermark, no text, no tattoos, no piercings, no makeup, no jewelry, no accessories, no background, no shadows, no highlights, no reflections, no lens flare, no bokeh, no depth of field, no blur, no grain, no noise, no compression, no artifacts, no compression artifacts, no noise artifacts, no grain artifacts, no blur artifacts, no depth of field artifacts, no highlights artifacts, no shadows artifacts, no lens flare artifacts, no reflections artifacts, sweaty body glistens in the light |
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/Fashion-Hut-Modeling-LoRA"
trigger_word = "Modeling of"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
You should use Modeling of to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Base model
black-forest-labs/FLUX.1-dev