Instructions to use bailuyucha/ftryon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bailuyucha/ftryon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bailuyucha/ftryon", 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
Upload checkpoint-30000/pytorch_model/mp_rank_00_model_states.pt with huggingface_hub
Browse files
checkpoint-30000/pytorch_model/mp_rank_00_model_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:36d6ed4c1e3e392d2003b27ac1c2db23a9b9e8e1de2c1e3b9d0c03a271ee812e
|
| 3 |
+
size 42587891361
|