README.md

---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'Front view, capture a urban style, Gta Hoodie, technical materials, fabric small point label on text Green theory, the design is minimal, with a raised collar, fabric is a Rose, low angle to capture the Hoodies form and detailing, f/5.6 to focus on the hoodies craftsmanship, solid grey background, studio light setting, with batman logo in the chest region of the t-shirt'
  output:
    url: >-
      images/YYY.png
- text: 'Front view, capture a urban style, Hoodie, technical materials, fabric small point label on text Graytheory, the design is minimal, with a raised collar, fabric is a dark grey, low angle to capture the Hoodies form and detailing, f/5.6 to focus on the hoodies craftsmanship, solid grey background, studio light setting'
  output:
    url: images/XXX.png
- text: 'Front view, capture a urban style, Hoodie, technical materials, fabric small point label on text red theory, the design is minimal, with a raised collar, fabric is a light red, low angle to capture the Hoodies form and detailing, f/5.6 to focus on the hoodies craftsmanship, solid grey background, studio light setting'
  output:
    url: images/RRR.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Dress, Cloth, Cloth style, Material Style, Hoodie
license: creativeml-openrail-m
---
# Canopus-Flux-LoRA-Hoodies

<Gallery />


**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**

## 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/Canopus-Flux-LoRA-Hoodies"
trigger_word = "Cloth style"  # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
```
## app.py
```
import gradio as gr

gr.load("prithivMLmods/Canopus-Flux-LoRA-Hoodies").launch()
```
## pythonproject.py
```
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
import gradio as gr

def image_generator(prompt):
    pass

interface = gr.Interface(fn=image_generator, inputs="text", outputs="image")
app = FastAPI()

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

app = gr.mount_gradio_app(app, interface, path="/")
```
## App File Structure

/project-root/
│
├── .gitattributes         
├── README.md      
├── app.py             
├── pythonproject.py     

## Trigger words

You should use `Dress` to trigger the image generation.

You should use `Cloth` to trigger the image generation.

You should use `Cloth style` to trigger the image generation.

You should use `Material Style` to trigger the image generation.

You should use `Hoodie` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/Canopus-Flux-LoRA-Hoodies/tree/main) them in the Files & versions tab.