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:
- b0ccb2483e405e6fbac1c3fa609dc9daeb998fd7423de5e65300b07f03f7b7e7
- Size of remote file:
- 2.13 GB
- SHA256:
- 63a8684dbc949d3713772f47f59e0417fd898034cc7f460f0ce1adc05513eda8
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