Instructions to use Muapi/charcoal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/charcoal 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("Muapi/charcoal") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- e89d0112aa8775f6b2de4ee1ce919fe6fc31b0f7f4e1d62077f44a4967999aa1
- Size of remote file:
- 165 kB
- SHA256:
- 2ea0f8f6904f120d345308cbc1e8f7962f72cd0f3c2d1e5e5042568502ae9500
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