--- 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 - character base_model: black-forest-labs/FLUX.1-dev instance_prompt: Cinematic style widget: - text: 'Beauty, realism, chiaroscuro, cinematic quality, rays of light, play of shadow and light, Abstract lighting effects, Victorian style. Gothic girl in a masquerade mask in the Baroque style, with gold and indigo decorative details, rough style' output: url: >- 31773249.jpeg --- # Magic of Art 2 (FLUX) ([CivitAI](https://civitai.com/models/)) ## Model description

CFG Scale: 2.0 - 3.5 experiment with the values

Steps: 14 - 22 experiment with the values

Weight: 0.3 - 1.

Works well with weight: ( 0.6 - 0.8 ), experiment with weights up to 1

## Trigger words You should use `Cinematic style`, `Beauty`, `Realism`, `Photorealism`, `Chiaroscuro`, `High quality` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/Keltezaa/magic-of-art-2-flux/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py from diffusers import AutoPipelineForText2Image import torch device = "cuda" if torch.cuda.is_available() else "cpu" pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device) pipeline.load_lora_weights('Keltezaa/magic-of-art-2-flux', weight_name='Magic of Art 2 (FLUX).safetensors') image = pipeline('Beauty, realism, chiaroscuro, cinematic quality, rays of light, play of shadow and light, Abstract lighting effects, Victorian style. Gothic girl in a masquerade mask in the Baroque style, with gold and indigo decorative details, rough style').images[0] ``` For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)