Instructions to use model-hub-nd/f_c_a_s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use model-hub-nd/f_c_a_s with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("model-hub-nd/f_c_a_s", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 911 Bytes
1f6311c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"ok": true,
"missing": [],
"transformer_shards": [
"/tmp/klein-diffusers-artifacts/flux2-klein9b-snofs08-consistency06-anatomy20-bf16/transformer/diffusion_pytorch_model-00001-of-00005.safetensors",
"/tmp/klein-diffusers-artifacts/flux2-klein9b-snofs08-consistency06-anatomy20-bf16/transformer/diffusion_pytorch_model-00002-of-00005.safetensors",
"/tmp/klein-diffusers-artifacts/flux2-klein9b-snofs08-consistency06-anatomy20-bf16/transformer/diffusion_pytorch_model-00003-of-00005.safetensors",
"/tmp/klein-diffusers-artifacts/flux2-klein9b-snofs08-consistency06-anatomy20-bf16/transformer/diffusion_pytorch_model-00004-of-00005.safetensors",
"/tmp/klein-diffusers-artifacts/flux2-klein9b-snofs08-consistency06-anatomy20-bf16/transformer/diffusion_pytorch_model-00005-of-00005.safetensors"
],
"transformer_tensor_count": 233,
"transformer_dtypes": [
"torch.bfloat16"
]
}
|