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:
- 9f141d213c3d4e9f3e8ff11fc9a7eb3b52f038ec62ae25aa7e9b0e9105138ea9
- Size of remote file:
- 2.13 GB
- SHA256:
- 05c7131c073c840918412101db3295a862f6379018153c887bec17e21de86748
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