Instructions to use dpredrag/AiGeneratorModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dpredrag/AiGeneratorModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dpredrag/AiGeneratorModel", 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
- Draw Things
- DiffusionBee
Delete AiGenerator-photoreal-v1.0.ckpt
Browse files
AiGenerator-photoreal-v1.0.ckpt
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:fc52756a74d5f371422ff99a7268cb6abb14bfc4a4de3569382cf0bd75e55d36
|
| 3 |
-
size 2132856686
|
|
|
|
|
|
|
|
|
|
|
|