Instructions to use creatorchain/DogCoin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatorchain/DogCoin 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/DogCoin") 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/rMbqbKVTehcLBNpmE2NIV_accf8bca511643b2b24dda1eac933c9d.jpg | |
| - text: '-' | |
| output: | |
| url: images/fEQbXeCbbcHq-1taqvl3d_e15c8e62c70d481d8db48ba5ffe7e276.jpg | |
| - text: '-' | |
| output: | |
| url: images/z-3fBzwDVTjXMwPFsX9hV_f796a0019d734215b6d44f02917c89b8.jpg | |
| - text: '-' | |
| output: | |
| url: images/s-edR2XTPfrEjwBfyhdXB_aad980604eb747ceb5668fdc7642c358.jpg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: dog coin | |
| license: apache-2.0 | |
| # DogCoin | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `dog coin` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/creatorchain/DogCoin/tree/main) them in the Files & versions tab. | |