Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use ovedrive/stable-diffusion-v1-4-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovedrive/stable-diffusion-v1-4-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ovedrive/stable-diffusion-v1-4-nf4", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "AutoencoderKL", | |
| "_diffusers_version": "0.36.0.dev0", | |
| "_name_or_path": "./tmp_model/vae", | |
| "act_fn": "silu", | |
| "block_out_channels": [ | |
| 128, | |
| 256, | |
| 512, | |
| 512 | |
| ], | |
| "down_block_types": [ | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D" | |
| ], | |
| "force_upcast": true, | |
| "in_channels": 3, | |
| "latent_channels": 4, | |
| "latents_mean": null, | |
| "latents_std": null, | |
| "layers_per_block": 2, | |
| "mid_block_add_attention": true, | |
| "norm_num_groups": 32, | |
| "out_channels": 3, | |
| "quantization_config": { | |
| "_load_in_4bit": true, | |
| "_load_in_8bit": false, | |
| "bnb_4bit_compute_dtype": "bfloat16", | |
| "bnb_4bit_quant_storage": "uint8", | |
| "bnb_4bit_quant_type": "nf4", | |
| "bnb_4bit_use_double_quant": true, | |
| "llm_int8_enable_fp32_cpu_offload": false, | |
| "llm_int8_has_fp16_weight": false, | |
| "llm_int8_skip_modules": [ | |
| "down_blocks.0.attentions.0.proj_in", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj", | |
| "down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2", | |
| "down_blocks.0.attentions.0.proj_out", | |
| "down_blocks.0.attentions.1.proj_in", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_q", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_k", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_v", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.attn1.to_out.0", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_q", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_k", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_v", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.attn2.to_out.0", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.ff.net.0.proj", | |
| "down_blocks.0.attentions.1.transformer_blocks.0.ff.net.2", | |
| "down_blocks.0.attentions.1.proj_out", | |
| "down_blocks.0.resnets.0.conv1", | |
| "down_blocks.0.resnets.0.time_emb_proj", | |
| "down_blocks.0.resnets.0.conv2", | |
| "down_blocks.0.resnets.1.conv1", | |
| "down_blocks.0.resnets.1.time_emb_proj", | |
| "down_blocks.0.resnets.1.conv2", | |
| "down_blocks.0.downsamplers.0.conv", | |
| "up_blocks.3.attentions.0.proj_in", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_q", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_k", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_v", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.attn1.to_out.0", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_q", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_k", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_out.0", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.ff.net.0.proj", | |
| "up_blocks.3.attentions.0.transformer_blocks.0.ff.net.2", | |
| "up_blocks.3.attentions.0.proj_out", | |
| "up_blocks.3.attentions.1.proj_in", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_q", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_k", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_v", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.attn1.to_out.0", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_q", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_k", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_v", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.attn2.to_out.0", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.ff.net.0.proj", | |
| "up_blocks.3.attentions.1.transformer_blocks.0.ff.net.2", | |
| "up_blocks.3.attentions.1.proj_out", | |
| "up_blocks.3.attentions.2.proj_in", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_q", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_k", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_v", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.attn1.to_out.0", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_q", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_k", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_v", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.attn2.to_out.0", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0.proj", | |
| "up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2", | |
| "up_blocks.3.attentions.2.proj_out", | |
| "up_blocks.3.resnets.0.conv1", | |
| "up_blocks.3.resnets.0.time_emb_proj", | |
| "up_blocks.3.resnets.0.conv2", | |
| "up_blocks.3.resnets.0.conv_shortcut", | |
| "up_blocks.3.resnets.1.conv1", | |
| "up_blocks.3.resnets.1.time_emb_proj", | |
| "up_blocks.3.resnets.1.conv2", | |
| "up_blocks.3.resnets.1.conv_shortcut", | |
| "up_blocks.3.resnets.2.conv1", | |
| "up_blocks.3.resnets.2.time_emb_proj", | |
| "up_blocks.3.resnets.2.conv2", | |
| "up_blocks.3.resnets.2.conv_shortcut", | |
| "mid_block.attentions.0.proj_in", | |
| "mid_block.attentions.0.transformer_blocks.0.attn1.to_q", | |
| "mid_block.attentions.0.transformer_blocks.0.attn1.to_k", | |
| "mid_block.attentions.0.transformer_blocks.0.attn1.to_v", | |
| "mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0", | |
| "mid_block.attentions.0.transformer_blocks.0.attn2.to_q", | |
| "mid_block.attentions.0.transformer_blocks.0.attn2.to_k", | |
| "mid_block.attentions.0.transformer_blocks.0.attn2.to_v", | |
| "mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0", | |
| "mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj", | |
| "mid_block.attentions.0.transformer_blocks.0.ff.net.2", | |
| "mid_block.attentions.0.proj_out", | |
| "mid_block.resnets.0.conv1", | |
| "mid_block.resnets.0.time_emb_proj", | |
| "mid_block.resnets.0.conv2", | |
| "mid_block.resnets.1.conv1", | |
| "mid_block.resnets.1.time_emb_proj", | |
| "mid_block.resnets.1.conv2", | |
| "conv_in", | |
| "conv_out" | |
| ], | |
| "llm_int8_threshold": 6.0, | |
| "load_in_4bit": true, | |
| "load_in_8bit": false, | |
| "quant_method": "bitsandbytes" | |
| }, | |
| "sample_size": 512, | |
| "scaling_factor": 0.18215, | |
| "shift_factor": null, | |
| "up_block_types": [ | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D", | |
| "UpDecoderBlock2D" | |
| ], | |
| "use_post_quant_conv": true, | |
| "use_quant_conv": true | |
| } | |