Instructions to use ttj/flex-diffusion-2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ttj/flex-diffusion-2-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ttj/flex-diffusion-2-1", 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
Download 2-base/unet/diffusion_pytorch_model.bin from ttj/flex-diffusion-2-1: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/ttj/flex-diffusion-2-1/resolve/main/2-base/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ttj/flex-diffusion-2-1/2-base/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ttj/flex-diffusion-2-1/resolve/main/2-base/unet/diffusion_pytorch_model.bin
3.46 GB
- Xet hash:
- 3aacba97398e96b167f255b791b1a7296b943e42a88a9102def4c2a4e92993f7
- Size of remote file:
- 3.46 GB
- SHA256:
- 5787dc426e24303eda19ff101b49329d4abadddca51a93612d6ffc7811cc2c21
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