Instructions to use smegmarip/ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smegmarip/ComfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smegmarip/ComfyUI", 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
Upload LLM/llava-llama-3-8b-text-encoder-tokenizer/model-00002-of-00004.safetensors with huggingface_hub
Browse files
LLM/llava-llama-3-8b-text-encoder-tokenizer/model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad5bc3adf916c67581a9d4868c160243de91b8630587165c7b072cce5d943c4f
|
| 3 |
+
size 4999802616
|