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 # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("model-hub-nd/f_c_a_s", 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
| { | |
| "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" | |
| ] | |
| } | |