Instructions to use RazorTLM/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RazorTLM/test2 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("RazorTLM/test2") prompt = "TOK1" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- daa5976cf295c91899aaf32337c6b11242d6fb7e77158cd4f8b355668295b0b1
- Size of remote file:
- 172 MB
- SHA256:
- 7c5e2ce690ed58503f537835ed16eccf822676a8d091d421419df090869d97e3
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