Instructions to use creatorchain/Coby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatorchain/Coby 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/Coby") 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/ZfIf-EeHRWxI7c-FDgfmA_81d16f2b45d8411796e7a1e08d2967ce.jpg | |
| - text: '-' | |
| output: | |
| url: images/U7bXHQQnfC19O25sxqjBw_184749dc116244169f1c306b15199b55.jpg | |
| - text: '-' | |
| output: | |
| url: images/6BuaS5_z7r-f9p6X_yMsu_0df2442dc7f4431faa3a29fe1ed2e349.jpg | |
| - text: '-' | |
| output: | |
| url: images/CxcUPymP0KMFX1qOcBK0T_725750a80e7844d0b3431725e40b62c4.jpg | |
| - text: '-' | |
| output: | |
| url: images/igNiUEKnYqB2oYLYy3kUF_f31eb04bf5544b0ebf06f70abbd5de29.jpg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: $coby | |
| license: apache-2.0 | |
| # Coby | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `$coby` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/creatorchain/Coby/tree/main) them in the Files & versions tab. | |