Instructions to use creatorchain/Coby_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatorchain/Coby_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/Coby_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/n7NvgAg0-TFVSrLrVpfNh_92c52d32d8534de28450b76caada7ffd.jpg | |
| - text: '-' | |
| output: | |
| url: images/2boVZ83y9SgUgAmaohh-S_ab93bfbb0db44158849e8228093c3fb6.jpg | |
| - text: '-' | |
| output: | |
| url: images/JdiFn3w98HWBrIFBiQBWF_bc1c429cf29043f3ad561725b0331285.jpg | |
| - text: '-' | |
| output: | |
| url: images/spD_l7Ge9XTUYNWjvHcBv_a3918d4bd5d0485ca6e8778cfdfe6dc8.jpg | |
| - text: '-' | |
| output: | |
| url: images/gNYljW9uEFILCgWogxN7C_0e351c44177a44b4a3d88df3a1177c2a.jpg | |
| - text: '-' | |
| output: | |
| url: images/Xy7w9NClOSS2SEm5W_fCy_d8aa5b500180403eb960e716ae23ecdc.jpg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: $coby | |
| license: apache-2.0 | |
| # coby_2 | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `$coby` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/creatorchain/Coby_2/tree/main) them in the Files & versions tab. | |