Instructions to use gsdf/Counterfeit-V2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gsdf/Counterfeit-V2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gsdf/Counterfeit-V2.0", 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
- Local Apps
- Draw Things
- DiffusionBee
Diffusers weights
#4
by adhikjoshi - opened
Please add diffusers weights
They have been added - you can try out the inference API :-)
They have been added - you can try out the inference API :-)
Do you use standard ckpt to Diffusers conversation script to convert?
Also, does conversation affect model quantity? Maybe even small loss?
I use:
https://huggingface.co/spaces/diffusers/sd-to-diffusers
To convert
and then
https://huggingface.co/spaces/diffusers/check_pr
to check if the PR works.
Quality is exactly the same - no loss in quality