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
QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers / text_encoder /VanillaQwen25VL_model-00003-of-00004.safetensors
- Xet hash:
- 921cb6dab2ebfbdca6fe60d9392ae041be039e97f2ce8615c7cb831865ada5f3
- Size of remote file:
- 4.93 GB
- SHA256:
- 09c1807c6d00d7cab94f7db39d4c02ebb8537225ccde383861ac48db97945aa6
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