Text-to-Image
Diffusers
English
Arabic
StableDiffusionXLPipeline
stable-diffusion-xl
sdxl
fused-model
merged-checkpoint
full-model
king2
image-generation
Instructions to use RASHID778/king2-image-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RASHID778/king2-image-full with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RASHID778/king2-image-full", 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 Settings
- Draw Things
- DiffusionBee
Download model_index.json from RASHID778/king2-image-full: direct link, hf CLI and curl.
- Browser
- Download file 536 Bytes
-
https://huggingface.co/RASHID778/king2-image-full/resolve/main/model_index.json
- Command line
-
hf download hf://RASHID778/king2-image-full/model_index.json
-
curl -L -o model_index.json https://huggingface.co/RASHID778/king2-image-full/resolve/main/model_index.json
536 Bytes
| { | |
| "_class_name": "StableDiffusionXLPipeline", | |
| "_diffusers_version": "0.31.0", | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "text_encoder_2": [ | |
| "transformers", | |
| "CLIPTextModelWithProjection" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "tokenizer_2": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "unet": [ | |
| "diffusers", | |
| "UNet2DConditionModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "EulerDiscreteScheduler" | |
| ] | |
| } |