Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use camgitblame/alien with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camgitblame/alien with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camgitblame/alien", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks alien" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5dedd2d0d27b16f28f5b20f4a8ee96bc0144a0cccedf3e71d2ede0ab128e20aa
- Size of remote file:
- 7.86 GB
- SHA256:
- 9322198c80116a77282860333ef3c60b43f1b93c757c707f64655aca772d7a3e
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