metadata

base_model: black-forest-labs/FLUX.1-schnell
license: apache-2.0
tags:
  - autotrain
  - spacerunner
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
widget:
  - text: 'Phoebe in a bustling cafe '
    output:
      url: samples/1726858519249__000001000_0.jpg
  - text: A man sees Phoebe
    output:
      url: samples/1726858525867__000001000_1.jpg
  - text: among the group phoebe was most interesting among them
    output:
      url: samples/1726858532164__000001000_2.jpg
  - text: among the group phoebe was most interesting among them
    output:
      url: images/example_oo6dp1yb9.png
instance_prompt: phoebe

phoebe-combes

Model trained with AI Toolkit by Ostris

Prompt
among the group phoebe was most interesting among them

Trigger words

You should use phoebe 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('batmandelbrot/phoebe-combes', weight_name='phoebe-combes')
image = pipeline('Phoebe in a bustling cafe ').images[0]
image.save("my_image.png")

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