Instructions to use glif/Brain-Melt-Acid-Art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif/Brain-Melt-Acid-Art 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("glif/Brain-Melt-Acid-Art") prompt = "Singing cactus" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 432d0b5e1007bf39c0e8e19faf951f65a67c925ab2dac9fb697cbb5297303084
- Size of remote file:
- 361 kB
- SHA256:
- dadbbdaf36ed649140109ae0db21554177a59da59bc10395ec1d9705ae26e161
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.