Instructions to use shahabctg/AutoCADShip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shahabctg/AutoCADShip with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shahabctg/AutoCADShip", 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 model_index.json from shahabctg/AutoCADShip: direct link, hf CLI and curl.
- Browser
- Download file 710 Bytes
-
https://huggingface.co/shahabctg/AutoCADShip/resolve/4dc279a16768083d6286a904cfb3dd5a8ec6a1db/model_index.json
- Command line
-
hf download hf://shahabctg/AutoCADShip@4dc279a16768083d6286a904cfb3dd5a8ec6a1db/model_index.json
-
curl -L -o model_index.json https://huggingface.co/shahabctg/AutoCADShip/resolve/4dc279a16768083d6286a904cfb3dd5a8ec6a1db/model_index.json
710 Bytes
| { | |
| "_class_name": "StableDiffusionInstructPix2PixPipeline", | |
| "_diffusers_version": "0.26.0.dev0", | |
| "_name_or_path": "timbrooks/instruct-pix2pix", | |
| "feature_extractor": [ | |
| "transformers", | |
| "CLIPImageProcessor" | |
| ], | |
| "image_encoder": [ | |
| null, | |
| null | |
| ], | |
| "requires_safety_checker": false, | |
| "safety_checker": [ | |
| "stable_diffusion", | |
| "StableDiffusionSafetyChecker" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "EulerAncestralDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "unet": [ | |
| "diffusers", | |
| "UNet2DConditionModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } | |