Instructions to use stablediffusionapi/abyssorangemix3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/abyssorangemix3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/abyssorangemix3", 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 stablediffusionapi/abyssorangemix3: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/stablediffusionapi/abyssorangemix3/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/abyssorangemix3/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/abyssorangemix3/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- aa38634fe2c97c3222e90394858b35babfca7fe941090f30c6c0931602645479
- Size of remote file:
- 3.44 GB
- SHA256:
- 17ca2ff2c4572911f8ef02219e079af913039cadeed1adb8afee30bea2a34700
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