Instructions to use hectorruiz9/Lucifer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hectorruiz9/Lucifer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("finetrainers/CogView4-6B-Edit-LoRA-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hectorruiz9/Lucifer") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Replace this paragraph with a description of what this PR is changing or adding, and why. Consider including before/after screenshots.
List which issues are fixed by this PR. You must list at least one issue. An issue is not required if the PR fixes something trivial like a typo.
If you had to change anything in the flutter/tests repo, include a link to the migration guide as per the breaking change policy.
Pre-launch Checklist
- I read the Contributor Guide and followed the process outlined there for submitting PRs.
- I read the Tree Hygiene wiki page, which explains my responsibilities.
- I read and followed the Flutter Style Guide, including Features we expect every widget to implement.
- I signed the CLA.
- I listed at least one issue that this PR fixes in the description above.
- I updated/added relevant documentation (doc comments with
///). - I added new tests to check the change I am making, or this PR is test-exempt.
- I followed the breaking change policy and added Data Driven Fixes where supported.
- All existing and new tests are passing.
If you need help, consider asking for advice on the #hackers-new channel on Discord.