Instructions to use zenafey/pixel_f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zenafey/pixel_f2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("zenafey/pixel_f2") prompt = "(masterpiece, top quality, best quality), pixel,pixel art, <lora:pixel_f2:0.5>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/00098-2416205037.jpeg +3 -0
- pixel_f2.safetensors +3 -0
images/00098-2416205037.jpeg
ADDED
|
|
Git LFS Details
|
pixel_f2.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc9de8c8bae899466df0340a29ff79cf86765a8be77975ee57eb438bbcfea433
|
| 3 |
+
size 151129209
|