Instructions to use amnonk/RGV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amnonk/RGV with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("amnonk/RGV") prompt = "RGV" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload https://huggingface.co/amnonk/RGV/RGV.safetensors with huggingface_hub
Browse files
https:/huggingface.co/amnonk/RGV/RGV.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2113ee345a3db982288edad060406802183e1d6e4f1a8e0537b5473b81ce9559
|
| 3 |
+
size 2132625534
|