Instructions to use aphexblake/200-msf-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aphexblake/200-msf-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aphexblake/200-msf-v2", 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
- Draw Things
- DiffusionBee
- Xet hash:
- f821ecf3eeae58d1ad5032b194151a554e37b6831988bba4c099a9e1993ab5ca
- Size of remote file:
- 134 Bytes
- SHA256:
- 9eb8a8219a863390fa675d94bce7df430508f8d1eded39741ee1a9cc167c500e
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