Instructions to use ampp/grossupV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ampp/grossupV2 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("ampp/grossupV2") prompt = "gr0ssup" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -24,14 +24,3 @@ license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICE
|
|
| 24 |
## Trigger words
|
| 25 |
|
| 26 |
You should use `gr0ssup` to trigger the image generation.
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
## Download model
|
| 30 |
-
|
| 31 |
-
Weights for this model are available in Safetensors format.
|
| 32 |
-
|
| 33 |
-
[Download](/ampp/grossupV2/tree/main) them in the Files & versions tab.
|
| 34 |
-
|
| 35 |
-
## Training at fal.ai
|
| 36 |
-
|
| 37 |
-
Training was done using [fal.ai/models/fal-ai/flux-lora-general-training](https://fal.ai/models/fal-ai/flux-lora-general-training).
|
|
|
|
| 24 |
## Trigger words
|
| 25 |
|
| 26 |
You should use `gr0ssup` to trigger the image generation.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|