Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use yoon6173/result_soldier1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yoon6173/result_soldier1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yoon6173/result_soldier1", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of camouflaged sks soldier" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 330bf8f38269b6229d051bd6d12fc8df8a9db362138cf25f57c78b251bf835c3
- Size of remote file:
- 3.46 GB
- SHA256:
- a2cea71fd69e050e8ab0dd6f022f28796b326ed6ed42c6422da98c6433289405
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