Instructions to use l3xx/resul5757 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use l3xx/resul5757 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("l3xx/resul5757") prompt = "R3Sul" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 84206e754f6fd5f42a553019d61226c43d7c69a06436248e7bc0a4bfe703dbe5
- Size of remote file:
- 173 MB
- SHA256:
- fa9cb291073dffb36ab8a141668ed2e57d72abe6061895bf1a0d4fdac82b4f51
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