Instructions to use cuongdev/tsttonghop-v2-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tsttonghop-v2-2000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/tsttonghop-v2-2000", 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:
- b04b842d275cb2a23f3ea4c9645263e44525a8a90c06e9cab6aef9235e53c8a2
- Size of remote file:
- 681 MB
- SHA256:
- 514bf3206ce1ace2e8ff1cb652677f14ee7cd6dc087b1ad402d3f6cdaaf5c94d
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