metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - disney
  - retro
  - style
  - cartoon
  - the protoart
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: egdisney
widget:
  - text: ' '
    output:
      url: 26130647.jpeg
  - text: ' '
    output:
      url: 26131291.jpeg
  - text: ' '
    output:
      url: 26129678.jpeg
  - text: ' '
    output:
      url: 26129677.jpeg
  - text: ' '
    output:
      url: 26129676.jpeg

Flux retro Disney v2

Model description

Second version of my Disney model with a higher epoch training

Trigger words

You should use egdisney to trigger the image generation.

Download model

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-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/flux-retro-disney-v2', weight_name='Flux_retro_Disney_v2.safetensors')
image = pipeline('`egdisney`').images[0]

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