Instructions to use ItsJayQz/Firewatch_Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsJayQz/Firewatch_Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ItsJayQz/Firewatch_Diffusion", 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
JB commited on
Commit ·
f94fb91
1
Parent(s): 7308f54
Upload Firewatch_fwatch_style.ckpt
Browse files
Firewatch_fwatch_style.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:348e2778170ad124c2cdb3c5a278f8add22df1a5c73182d1f45bc73d7859aeaf
|
| 3 |
+
size 2132903585
|