Instructions to use PincoLi/SymbOmni-ComfyUI-model-pack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PincoLi/SymbOmni-ComfyUI-model-pack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PincoLi/SymbOmni-ComfyUI-model-pack", 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 4 files scanned as suspicious.
- InfiniteYou
- LLM
- audio_encoders
- bert-base-uncased
- checkpoints
- clip
- clip_vision
- configs
- controlnet
- diffusers
- diffusion_models
- embeddings
- facedetection
- facerestore_models
- flux
- gligen
- grounding-dino
- hypernetworks
- inpaint
- insightface
- ipadapter
- lama
- loras
- model_patches
- nsfw_detector
- photomaker
- rembg
- rife
- sam2
- sams
- style_models
- symbomni_memory
- text_encoders
- ultralytics
- unet
- upscale_models
- vae
- vae_approx
- 1.89 kB
- 24 Bytes