Text-to-Image
Diffusers
Safetensors
English
Chinese
QwenImagePipeline
nf4
Abliterated
Qwen2.5-VL7b-Abliterated
instruct
Diffusers
Transformers
uncensored
image-to-image
image-generation
Instructions to use lhca521/QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lhca521/QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lhca521/QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers", 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
| { | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "repetition_penalty": 1.05, | |
| "temperature": 0.1, | |
| "top_k": 1, | |
| "top_p": 0.001, | |
| "transformers_version": "4.53.3" | |
| } | |