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
- Draw Things
- DiffusionBee
- Xet hash:
- 49539b5b0420599028f888999c3d09677009468352ea41212aaa3f9adb0eea5d
- Size of remote file:
- 492 MB
- SHA256:
- d60285896900475dba8d0470be97a0d4c700764edd9f1491d67f2630138b1d30
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