Instructions to use guillekenzo/aros-dd99bcb7-VelvetFalcon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guillekenzo/aros-dd99bcb7-VelvetFalcon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("guillekenzo/aros-dd99bcb7-VelvetFalcon") prompt = "A photo of VelvetFalcon on a wooden table indoors." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from guillekenzo/aros-dd99bcb7-VelvetFalcon: direct link, hf CLI and curl.
- Browser
- Download file 384 MB
-
https://huggingface.co/guillekenzo/aros-dd99bcb7-VelvetFalcon/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://guillekenzo/aros-dd99bcb7-VelvetFalcon/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/guillekenzo/aros-dd99bcb7-VelvetFalcon/resolve/main/checkpoint-500/optimizer.bin
384 MB
- Xet hash:
- e00dd0668f981ee4c9dad4e9f2ec1ed3bd9edda757d1d170103a4c62d6cdd8a3
- Size of remote file:
- 384 MB
- SHA256:
- 6c4885566172e9c1e8d8064d10f5db0955054ef3927ae8802fd6fe03f1db549c
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