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('uwcc/retro_future', weight_name='retro_future.safetensors')
image = pipeline('A church in a field on a sunny day, [trigger] style.').images[0]
image.save("my_image.png")
retro_future huggingface.co is an AI model on huggingface.co that provides retro_future's model effect (), which can be used instantly with this uwcc retro_future model. huggingface.co supports a free trial of the retro_future model, and also provides paid use of the retro_future. Support call retro_future model through api, including Node.js, Python, http.
retro_future huggingface.co is an online trial and call api platform, which integrates retro_future's modeling effects, including api services, and provides a free online trial of retro_future, you can try retro_future online for free by clicking the link below.
uwcc retro_future online free url in huggingface.co:
retro_future is an open source model from GitHub that offers a free installation service, and any user can find retro_future on GitHub to install. At the same time, huggingface.co provides the effect of retro_future install, users can directly use retro_future installed effect in huggingface.co for debugging and trial. It also supports api for free installation.