Instructions to use ablemind/kkrishtrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ablemind/kkrishtrain 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ablemind/kkrishtrain") prompt = "kkrish" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f28eeaf2821177aabd50d20e1305361fd8a51f8166376f8e2947201709820e17
- Size of remote file:
- 687 MB
- SHA256:
- 8448b14d7e405619441b9893cffc1bc9c3b2fa16f2c33b125cc4cf76dc217daf
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