Instructions to use warp-ai/wuerstchen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use warp-ai/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("warp-ai/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
Upload folder using huggingface_hub
Browse files
generator/diffusion_pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2e99829fe0a2c946ec6b4ef6979aee78bfaa05f87b0cf7b80ecafa20272ef60
|
| 3 |
+
size 4221843094
|
model_index.json
CHANGED
|
@@ -5,6 +5,7 @@
|
|
| 5 |
"wuerstchen",
|
| 6 |
"DiffNeXt"
|
| 7 |
],
|
|
|
|
| 8 |
"scheduler": [
|
| 9 |
"diffusers",
|
| 10 |
"DDPMWuerstchenScheduler"
|
|
|
|
| 5 |
"wuerstchen",
|
| 6 |
"DiffNeXt"
|
| 7 |
],
|
| 8 |
+
"latent_dim_scale": 10.67,
|
| 9 |
"scheduler": [
|
| 10 |
"diffusers",
|
| 11 |
"DDPMWuerstchenScheduler"
|