Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use EquusSilvermane/character_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EquusSilvermane/character_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EquusSilvermane/character_model", dtype=torch.bfloat16, device_map="cuda") prompt = "realistic sks unicorn with gray fur" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from EquusSilvermane/character_model: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/EquusSilvermane/character_model/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://EquusSilvermane/character_model/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/EquusSilvermane/character_model/resolve/main/checkpoint-1000/optimizer.bin
1.73 GB
- Xet hash:
- 570f1b43b8bf1a1abe8996a1f271c2ffd7cec8bff2a5dd5954d1939869144e0b
- Size of remote file:
- 1.73 GB
- SHA256:
- 38b3a91b307756d8932e9ae07425b4e5616ae1b0f5b02fb08479f3519e5c355a
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