Text-to-3D
Diffusers
Safetensors
medical-imaging
ct-generation
flow-matching
diffusion
auto-regressive
Instructions to use EnyaWoooo/CTFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnyaWoooo/CTFlow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnyaWoooo/CTFlow", 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 checkpoint-680000/optimizer.bin from EnyaWoooo/CTFlow: direct link, hf CLI and curl.
- Browser
- Download file 4.11 GB
-
https://huggingface.co/EnyaWoooo/CTFlow/resolve/main/checkpoint-680000/optimizer.bin
- Command line
-
hf download hf://EnyaWoooo/CTFlow/checkpoint-680000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/EnyaWoooo/CTFlow/resolve/main/checkpoint-680000/optimizer.bin
4.11 GB
- Xet hash:
- aa001ab71363108297f399976677a6f016cc065f3784d852cf7169a6f27fc8f2
- Size of remote file:
- 4.11 GB
- SHA256:
- ce28a52ccd9289fd02ca2b462304ce9ffc9c3c586d5bfa3ba3833d1ce6a7e1d4
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