Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
art
stable-diffusion
stable-diffusion-diffusers
ArcticFlamingo
Instructions to use Yntec/ArcticFowl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ArcticFowl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/ArcticFowl", 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 vae/diffusion_pytorch_model.fp16.bin from Yntec/ArcticFowl: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Yntec/ArcticFowl/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Yntec/ArcticFowl@refs/pr/1/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Yntec/ArcticFowl/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 2532331fce959879475c82a4302d30f4287c42b43bc90f30ea165b3d54481813
- Size of remote file:
- 167 MB
- SHA256:
- 73eb6c0ca3873a2382a5c8ec5d3e00cae8c009cb46a040e8230b10fae2bd9cee
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