Instructions to use bdsqlsz/qinglong_controlnet-lllite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bdsqlsz/qinglong_controlnet-lllite with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bdsqlsz/qinglong_controlnet-lllite", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Photorealistic version?
#2
by 97Buckeye - opened
Do you any plans to release a version of this based on photorealistic images? I was really excited when I saw you were releasing this, but then I saw that it was based on anime. Sad times. π’
At first I thought it was theoretically generalizable, but as a result of testing it seems to require a real dataset to train a separate version.
I'll release the photorealistic version when it's ready
Thank you! Will be a happy day when it is done! :)