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:
- 125eab5194806c69bb962655d32cc6356ca65a0ad105256ab9fe3008cae7c2ad
- Size of remote file:
- 7.86 GB
- SHA256:
- 38e76c03969690ebfce7934a4581fee5ac35edc7ce68d847f7daa53254acba1b
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