README.md

metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A realistic IPhone 15 selfie of FluxTLucas
    output:
      url: samples/1726116583723__000001000_0.jpg
  - text: A cinematic shot of FluxTLucas driving in high speed
    output:
      url: samples/1726116601191__000001000_1.jpg
  - text: A FluxTLucas riding a flying white horse in a sundown sky
    output:
      url: samples/1726116618657__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: FluxTLucas
license: apache-2.0

flucasx-treinado

Model trained with AI Toolkit by Ostris

Prompt

A realistic IPhone 15 selfie of FluxTLucas

Prompt

A cinematic shot of FluxTLucas driving in high speed

Prompt

A FluxTLucas riding a flying white horse in a sundown sky

Trigger words

You should use FluxTLucas to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('RodrigoFlorencio/flucasx-treinado', weight_name='flucasx-treinado')
image = pipeline('A realistic IPhone 15 selfie of FluxTLucas').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers