Instructions to use Avener/fractal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Avener/fractal 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("Avener/fractal") prompt = "fx, moyou, Masterpiece, best quality, high resolution, (dark blue theme), (universe), (planets:1.2), (nebulae), free form surfaces, concise lines, depth of field," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: >- | |
| fx, moyou, Masterpiece, best quality, high resolution, (dark blue theme), | |
| (universe), (planets:1.2), (nebulae), free form surfaces, concise lines, | |
| depth of field, | |
| parameters: | |
| negative_prompt: ' 16-token-negative-deliberate, easynegative, worst quality, low quality, grayscale, monochrome,nsfw' | |
| output: | |
| url: images/8a8d4213-ee1a-490b-a05d-f65691e859e1.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| # fractal | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/Avener/fractal/tree/main) them in the Files & versions tab. | |