Instructions to use jayr23/c3d1-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jayr23/c3d1-2 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("jayr23/c3d1-2") prompt = "c3d1 riding a huge cat into battle, gates of hell --42" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
c3d1
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- c3d1 riding a huge cat into battle, gates of hell --42

- Prompt
- c3d1 close-up of front with black background, cool, sly --42

- Prompt
- c3d1 as jon snow in battle stance, game of thrones --42
Trigger words
You should use c3d1 to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
- Downloads last month
- 3
Model tree for jayr23/c3d1-2
Base model
black-forest-labs/FLUX.1-dev