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-65000/pytorch_model/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt with huggingface_hub
Browse files
checkpoint-65000/pytorch_model/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:19970a00ce7258dbdb08b84ffa0e92beea73c750fe3c19e3a967c7692ed0739c
|
| 3 |
+
size 3786331429
|