Instructions to use WarriorMama777/AbyssOrangeMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WarriorMama777/AbyssOrangeMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WarriorMama777/AbyssOrangeMix", 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 unet/diffusion_pytorch_model.bin from WarriorMama777/AbyssOrangeMix: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/WarriorMama777/AbyssOrangeMix/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://WarriorMama777/AbyssOrangeMix/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/WarriorMama777/AbyssOrangeMix/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 2806c444eeadb0c967407c563a308e6cea688d01443933c4a96022de9deaef6a
- Size of remote file:
- 3.44 GB
- SHA256:
- df73c6d3fcb1dc7f92935282d640b0a4e1036a754e6cffdb265a65888d3ffbff
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