Instructions to use diffusion-gif/any2ego with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusion-gif/any2ego with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("diffusion-gif/any2ego") 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
init: Any2Ego checkpoint models/CLIP-ViT-H-14-laion2B-s32B-b79K/model.safetensors
Browse files
models/CLIP-ViT-H-14-laion2B-s32B-b79K/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:036e6e2bd49697511f4f8b8cb5ee465f93025f7a69a145eadeb9a881ace9b18d
|
| 3 |
+
size 3944552236
|