Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
trl
ddpo
reinforcement-learning
stable-diffusion
Instructions to use Nguyen17/Diff1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nguyen17/Diff1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nguyen17/Diff1", 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:
- 6de2a400c77537dd3af30df562944336786b36c831c848e326b97d49f475e944
- Size of remote file:
- 1.72 GB
- SHA256:
- c289e4c753c9ceeb63a1fd8ecb434c6a79399393105568508c2c98d5e179ec1d
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