Instructions to use kingjones777/Ming-Image-0.1-Design-ROCm-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kingjones777/Ming-Image-0.1-Design-ROCm-INT8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kingjones777/Ming-Image-0.1-Design-ROCm-INT8", 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
File size: 330 Bytes
18c1466 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"use_identity_mlp": true,
"use_vlm_directvlm_condition": true,
"use_learnable_token_condition": true,
"diffusion_c_input_dim": 2560,
"text_encoder_norm": false,
"connector_norm": false,
"img_gen_scales": [
16
],
"selected_hidden_states_layers": [
5,
12,
20
],
"diffusion_inner_dim": 3840
}
|