Instructions to use ItsJayQz/Classic_Telltale_Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsJayQz/Classic_Telltale_Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ItsJayQz/Classic_Telltale_Diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a0bcae772498e44c5a757adf5cda0076af1fe2d230186b8f7c5b843d97ea7eef
- Size of remote file:
- 492 MB
- SHA256:
- 00f08a4e534de8bd75815bfaf79d4875bc783add43f256dbb41424d3375bcb8d
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