Instructions to use PQlet/textual-inversion-v2-vec3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PQlet/textual-inversion-v2-vec3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PQlet/textual-inversion-v2-vec3") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 08925939ce247cadbb1be378818186e9ebdf027042bf07fcb74d0d068c1005f3
- Size of remote file:
- 10.1 kB
- SHA256:
- d736002bb46ad845b288bdbdfc24467dc4898a7723fc6707143b8f7ca945b451
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