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:
- abc2197f202e0af8595836ef46e4226f04da167c935652f188f3f8a850583750
- Size of remote file:
- 5.28 MB
- SHA256:
- 82e78f56ab82baeeae36fb35193775de4425f4b2001d42d947c3803784c1fea6
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