Instructions to use Faber8/Counterfeit-V2.5_fp16-vae-swapped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Faber8/Counterfeit-V2.5_fp16-vae-swapped with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Faber8/Counterfeit-V2.5_fp16-vae-swapped", 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 Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Faber8/Counterfeit-V2.5_fp16-vae-swapped: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Faber8/Counterfeit-V2.5_fp16-vae-swapped/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Faber8/Counterfeit-V2.5_fp16-vae-swapped/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Faber8/Counterfeit-V2.5_fp16-vae-swapped/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 14b5d5f1e77e52ea5fe5c360cb1ab5d4fbc98e5044194c9c98e83b803f3eeb40
- Size of remote file:
- 492 MB
- SHA256:
- dc0577acb04ed4a6bf18954444b5ad73db4af19a0b5d703161f49e168fcd4477
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