Text-to-Image
Diffusers
Safetensors
English
ErnieImagePipeline
mistral
fp32
adamw
transformer
monte-carlo
dit
ernie
Instructions to use Felldude/ERNIE-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Felldude/ERNIE-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Felldude/ERNIE-Image", 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
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "ErnieImagePipeline", | |
| "_diffusers_version": "0.36.0", | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "pe": [ | |
| "transformers", | |
| "Ministral3ForCausalLM" | |
| ], | |
| "pe_tokenizer": [ | |
| "transformers", | |
| "TokenizersBackend" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "Mistral3Model" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "TokenizersBackend" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "ErnieImageTransformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLFlux2" | |
| ] | |
| } | |