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
metadata
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

- Prompt
- -

- Prompt
- -

- Prompt
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- Prompt
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- Prompt
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- Prompt
- -
Trigger words
You should use $coby to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.