Instructions to use latent-consistency/lcm-lora-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use latent-consistency/lcm-lora-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("latent-consistency/lcm-lora-sdxl") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Any Plan to Support Video Diffusion Models?
#6
by MoonQiu - opened
Hi, your work is so amazing and expressing. I think it is very suitable for video diffusion models. Do have any plans to support some open-source video diffusion models?
We have a couple:
Thanks. Btw the way, do you have the plan to support VideoCrafter (https://huggingface.co/spaces/VideoCrafter/VideoCrafter)?