Instructions to use armanakbari4/g1_fdmv2_openLidPotato_500step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use armanakbari4/g1_fdmv2_openLidPotato_500step with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("armanakbari4/g1_fdmv2_openLidPotato_500step", 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
Download transformer/diffusion_pytorch_model.safetensors from armanakbari4/g1_fdmv2_openLidPotato_500step: direct link, hf CLI and curl.
- Browser
- Download file 10.2 GB
-
https://huggingface.co/armanakbari4/g1_fdmv2_openLidPotato_500step/resolve/main/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://armanakbari4/g1_fdmv2_openLidPotato_500step/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/armanakbari4/g1_fdmv2_openLidPotato_500step/resolve/main/transformer/diffusion_pytorch_model.safetensors
10.2 GB
- Xet hash:
- 89fa55047493d37e0c5c2d96a9f5a30e66878d7ecb2fd89d7fe66adbc5daba96
- Size of remote file:
- 10.2 GB
- SHA256:
- 01800d8db63001d02bf87e22922cdaae1c6bdcb948f336cc9acd77aadaf17559
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