Instructions to use FredZhang7/paint-journey-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FredZhang7/paint-journey-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FredZhang7/paint-journey-v1", 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:
- 2035983a215c74d44a1f69da2a1d0a2d4f3fa52074cb882875483c1933f440bb
- Size of remote file:
- 5.15 MB
- SHA256:
- bbf6900a75c69d377cee5f22180c072935cb6a1223ae7484dcab774f56bd4c36
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