Instructions to use Tinsae/grumpy-sd-version2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tinsae/grumpy-sd-version2-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tinsae/grumpy-sd-version2-1", torch_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:
- 3cfd6cc70f4a1e55b73138b954973566a0f83509a6f08b18cb6fedb96c40fc72
- Size of remote file:
- 2.61 GB
- SHA256:
- 86fd2e04236941ecd49afa607044875bc0ff040d53713c9e1efc89e2914cf12b
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