Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
pooh
artistic
Instructions to use 3ee/original-pooh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 3ee/original-pooh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("3ee/original-pooh", 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 3ee/original-pooh: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/3ee/original-pooh/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://3ee/original-pooh@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/3ee/original-pooh/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 309b4706d2cd024784e605f32aaeb80fb016c9432297cb86de2ce12765dd0cf3
- Size of remote file:
- 492 MB
- SHA256:
- 68097a456dc390f555d4c0c76c41e8c75e59191b91affaa499abc532477a4a65
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