Instructions to use thisisAce/runpod_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thisisAce/runpod_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("thisisAce/runpod_models", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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This model has 10 files scanned as unsafe.
- checkpoints
- clip
- clip_interrogator
- clip_vision
- configs
- controlnet
- diffusers
- embeddings
- facedetection
- facerestore_models
- gligen
- grounding-dino
- hypernetworks
- insightface
- instantid
- ipadapter
- lama
- loras
- photomaker
- prompt_generator
- rembg
- sams
- style_models
- ultralytics
- unet
- upscale_models
- vae
- vae_approx
- 1.52 kB
- 42 Bytes