pip install -U diffusers transformers accelerate
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("pixologyds/multimodel")
prompt = "wide and low angle, cinematic, fashion photography. xkang sitting on floor wearing a full size white t-shirt with big letters \\\"Kangana Ranaut\\\" , cute gold jeans, nice gold covered high heels and a gracious look on her face. The background is a color gradient, her face is lit with cool white light, studio setting <lora:xkang-flux-lora:1>"
image = pipe(prompt).images[0]Multimodel
- Prompt
- wide and low angle, cinematic, fashion photography. xkang sitting on floor wearing a full size white t-shirt with big letters \"Kangana Ranaut\" , cute gold jeans, nice gold covered high heels and a gracious look on her face. The background is a color gradient, her face is lit with cool white light, studio setting <lora:xkang-flux-lora:1>
Trigger words
You should use xtrish to trigger the image generation.
You should use xnayan to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 2
Model tree for pixologyds/multimodel
Base model
black-forest-labs/FLUX.1-dev
# Gated model: Login with a HF token with gated access permission hf auth login