from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('multimodalart/tarsila-captioned', weight_name='tarsila-captioned')
image = pipeline('A person in a bustling cafe in the style of tarsila do amaral').images[0]
image.save("my_image.png")
tarsila-captioned huggingface.co is an AI model on huggingface.co that provides tarsila-captioned's model effect (), which can be used instantly with this multimodalart tarsila-captioned model. huggingface.co supports a free trial of the tarsila-captioned model, and also provides paid use of the tarsila-captioned. Support call tarsila-captioned model through api, including Node.js, Python, http.
tarsila-captioned huggingface.co is an online trial and call api platform, which integrates tarsila-captioned's modeling effects, including api services, and provides a free online trial of tarsila-captioned, you can try tarsila-captioned online for free by clicking the link below.
multimodalart tarsila-captioned online free url in huggingface.co:
tarsila-captioned is an open source model from GitHub that offers a free installation service, and any user can find tarsila-captioned on GitHub to install. At the same time, huggingface.co provides the effect of tarsila-captioned install, users can directly use tarsila-captioned installed effect in huggingface.co for debugging and trial. It also supports api for free installation.