Instructions to use cornbox/chroma-finetune-v8_1-15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cornbox/chroma-finetune-v8_1-15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cornbox/chroma-finetune-v8_1-15", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Check out the documentation for more information.
Second stage finetuning run from chroma-finetune-v8-30 (epoch 30). 6000 realistic images, 15 epochs, learning rate 2.5e-6, batch size 16, cosine scheduling.
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