Instructions to use UmeAiRT/ComfyUI-Auto-Installer-Assets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/ComfyUI-Auto-Installer-Assets with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmeAiRT/ComfyUI-Auto-Installer-Assets", 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
Commit History
-
Add vocab.json
Verified signaturec8072b8 -
Add tokenizer_config.json
Verified signature7f5d15a -
Add tokenizer.json
Verified signature8d804ef -
Add special_tokens_map.json
Verified signature4ebb80f -
Add processing_florence2.py
Verified signaturee41e1d1 -
Add preprocessor_config.json
Verified signature88a11c4 -
Add modeling_florence2.py
Verified signature748a53c -
Add model.safetensors
Verified signaturebaa935b -
Add merges.txt
Verified signature0130bb1 -
Add generation_config.json
Verified signature29429cb -
Add configuration_florence2.py
Verified signature09e2f7a -
Add config.json
Verified signature5d10771 -
Add added_tokens.json
Verified signaturece75776 -
Add README.md
Verified signature645949c -
Reorganize repo: unet→diffusion_models, others→bin+packages, normalize names
Verified signaturec2f5597
-
Upload 31 files
Verified signature70b1a90