Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use Dorgus/character_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dorgus/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("Dorgus/character_model", dtype=torch.bfloat16, device_map="cuda") prompt = "full body sks cougar with black armband marking and a tail tuft" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- eb03064947ce784ac4f480a6b0c91721009776d3abcf6fd9ed471b8f714b7898
- Size of remote file:
- 1.73 GB
- SHA256:
- c4fa59568507b082f4f6f1171339550f5cc654dce1b000a760f80f44483f0969
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.