Instructions to use renderartist/toyboxflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use renderartist/toyboxflux 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("renderartist/toyboxflux") prompt = "t0yb0x 3d render of a toy design, a rocket" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add generated example (#1)
Verified signature- Add generated example (309dee41484ee29b51ab195832b3e83218c1ca97) Co-authored-by: Nguyen Thanh Dat <oliverN@users.noreply.huggingface.co>bd13073
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Upload Toy_Box_Flux_v2_renderartist.safetensors
Verified signaturev2 has better prompt adherence and is much less overfit, it was trained on 101 images, 1 repeat, 10 epochs, 32 DIM / 32 ALPHA -- 1,010 total steps.7f66a12
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Add 10 files
Verified signaturee2c0fa6 -
initial commit
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