Instructions to use bobby97/step3_951f889e-5b78-449e-ae3a-d53a924bdb1d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bobby97/step3_951f889e-5b78-449e-ae3a-d53a924bdb1d 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-Fill-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bobby97/step3_951f889e-5b78-449e-ae3a-d53a924bdb1d") prompt = "A black and white image captures faint trails of meteors streaking across the night sky, surrounded by a few discernible stars. The motion of the meteors creates long, luminous lines against the dark backdrop, highlighting their rapid movement through space." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Flux Fill based Inpainting model
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
- Downloads last month
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Model tree for bobby97/step3_951f889e-5b78-449e-ae3a-d53a924bdb1d
Base model
black-forest-labs/FLUX.1-Fill-dev