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:
- 386341208871adfb0887ecbb1719ca772fc4f18b8e956b3aa1b9af2c0b56add2
- Size of remote file:
- 3.44 GB
- SHA256:
- 1a6eb80f7dded09fcc8569d11e30026a49f92f1820ebc3cb2d1dffa03425344c
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