Instructions to use creatorchain/creator_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatorchain/creator_2 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("creatorchain/creator_2") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: images/eRt9kBkgxDOfNCLNI5GK0_40a12fab05924430b00cd149602c5cbb.jpg | |
| - text: '-' | |
| output: | |
| url: images/MP-MjcORFHPt3TMT5b0qO_1685a42292304283a43186b424424fe1.jpg | |
| - text: '-' | |
| output: | |
| url: images/UAXzKtM45mSlBiVE5_N4v_80ae61a062ad4a8ea039cec9470d9c50.jpg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: $creator | |
| license: apache-2.0 | |
| # creator_2 | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `$creator` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/creatorchain/creator_2/tree/main) them in the Files & versions tab. | |