Flux LoRA Collections
Collection
LoRA Flux
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33 items
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Updated
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10
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
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)
import gradio as gr
gr.load("prithivMLmods/Canopus-Flux-LoRA-Hoodies").launch()
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="/")
/project-root/
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βββ .gitattributes
βββ README.md
βββ app.py
βββ pythonproject.py
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.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Base model
black-forest-labs/FLUX.1-dev