Instructions to use not-pegasus/IMAGE_MODAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use not-pegasus/IMAGE_MODAL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("not-pegasus/IMAGE_MODAL", 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
File size: 331 Bytes
bddf20b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | """
fsspec user-defined exception classes
"""
import asyncio
class BlocksizeMismatchError(ValueError):
"""
Raised when a cached file is opened with a different blocksize than it was
written with
"""
class FSTimeoutError(asyncio.TimeoutError):
"""
Raised when a fsspec function timed out occurs
"""
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