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 text_encoder/pytorch_model.bin from WarriorMama777/AbyssOrangeMix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/WarriorMama777/AbyssOrangeMix/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://WarriorMama777/AbyssOrangeMix/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/WarriorMama777/AbyssOrangeMix/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- c95abc86c7cd969dc9f5c1c84e1f2121c419c25882b91a6119c40464915764eb
- Size of remote file:
- 492 MB
- SHA256:
- c6293ab9b3a9e98626a5c129647683279dc02a81b479eae41e3560d4a6ebe7cc
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