Instructions to use finnstrom3693/wuerstchen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use finnstrom3693/wuerstchen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("finnstrom3693/wuerstchen", 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
Download decoder/config.json from finnstrom3693/wuerstchen: direct link, hf CLI and curl.
- Browser
- Download file 658 Bytes
-
https://huggingface.co/finnstrom3693/wuerstchen/resolve/main/decoder/config.json
- Command line
-
hf download hf://finnstrom3693/wuerstchen/decoder/config.json
-
curl -L -o config.json https://huggingface.co/finnstrom3693/wuerstchen/resolve/main/decoder/config.json
658 Bytes
| { | |
| "_class_name": "WuerstchenDiffNeXt", | |
| "_diffusers_version": "0.30.2", | |
| "_name_or_path": "/root/.cache/huggingface/hub/models--warp-ai--wuerstchen/snapshots/c3da41406ddd4d9c48c49aa93981a82354351b83/decoder", | |
| "blocks": [ | |
| 4, | |
| 4, | |
| 14, | |
| 4 | |
| ], | |
| "c_cond": 1024, | |
| "c_hidden": [ | |
| 320, | |
| 640, | |
| 1280, | |
| 1280 | |
| ], | |
| "c_in": 4, | |
| "c_out": 4, | |
| "c_r": 64, | |
| "clip_embd": 1024, | |
| "dropout": 0.1, | |
| "effnet_embd": 16, | |
| "inject_effnet": [ | |
| false, | |
| true, | |
| true, | |
| true | |
| ], | |
| "kernel_size": 3, | |
| "level_config": [ | |
| "CT", | |
| "CTA", | |
| "CTA", | |
| "CTA" | |
| ], | |
| "nhead": [ | |
| -1, | |
| 10, | |
| 20, | |
| 20 | |
| ], | |
| "patch_size": 2 | |
| } | |